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Wu FC, Chen CY, Wang YW, You CB, Wang LY, Ruan J, Chou WY, Lai WC, Cheng HL. Modulating Neuromorphic Behavior of Organic Synaptic Electrolyte-Gated Transistors Through Microstructure Engineering and Potential Applications. ACS APPLIED MATERIALS & INTERFACES 2024; 16:41211-41222. [PMID: 39054697 PMCID: PMC11310909 DOI: 10.1021/acsami.4c05966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/03/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024]
Abstract
Organic synaptic transistors are a promising technology for advanced electronic devices with simultaneous computing and memory functions and for the application of artificial neural networks. In this study, the neuromorphic electrical characteristics of organic synaptic electrolyte-gated transistors are correlated with the microstructural and interfacial properties of the active layers. This is accomplished by utilizing a semiconducting/insulating polyblend-based pseudobilayer with embedded source and drain electrodes, referred to as PB-ESD architecture. Three variations of poly(3-hexylthiophene) (P3HT)/poly(methyl methacrylate) (PMMA) PB-ESD-based organic synaptic transistors are fabricated, each exhibiting distinct microstructures and electrical characteristics, thus serving excellent samples for exploring the critical factors influencing neuro-electrical properties. Poor microstructures of P3HT within the active layer and a flat active layer/ion-gel interface correspond to typical neuromorphic behaviors such as potentiated excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and short-term potentiation (STP). Conversely, superior microstructures of P3HT and a rough active layer/ion-gel interface correspond to significantly higher channel conductance and enhanced EPSC and PPF characteristics as well as long-term potentiation behavior. Such devices were further applied to the simulation of neural networks, which produced a good recognition accuracy. However, excessive PMMA penetration into the P3HT conducting channel leads to features of a depressed EPSC and paired-pulse depression, which are uncommon in organic synaptic transistors. The inclusion of a second gate electrode enables the as-prepared organic synaptic transistors to function as two-input synaptic logic gates, performing various logical operations and effectively mimicking neural modulation functions. Microstructure and interface engineering is an effective method to modulate the neuromorphic behavior of organic synaptic transistors and advance the development of bionic artificial neural networks.
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Affiliation(s)
- Fu-Chiao Wu
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
| | - Chun-Yu Chen
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
| | - Yu-Wu Wang
- Institute
of Photonics, National Changhua University
of Education, Changhua 500, Taiwan
| | - Chun-Bin You
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
| | - Li-Yun Wang
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
| | - Jrjeng Ruan
- Department
of Materials Science and Engineering, National
Cheng Kung University, Tainan 701, Taiwan
| | - Wei-Yang Chou
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
| | - Wei-Chih Lai
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
| | - Horng-Long Cheng
- Department
of Photonics, Meta-nanoPhotonics Center, National Cheng Kung University, Tainan 701, Taiwan
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2
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Lee W, Kim T, Kim H, Kim Y. Controlled Migration of Lithium Cations by Diamine Bridges in Water-Processable Polymer-Based Solid-State Electrolyte Memory Layers for Organic Synaptic Transistors. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2403645. [PMID: 39011779 DOI: 10.1002/adma.202403645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/30/2024] [Indexed: 07/17/2024]
Abstract
Synaptic transistors require sufficient retention (memory) performances of current signals to exactly mimic biological synapses. Ion migration has been proposed to achieve high retention characteristics but less attention has been paid to polymer-based solid-state electrolytes (SSEs) for organic synaptic transistors (OSTRs). Here, OSTRs with water-processable polymer-based SSEs, featuring ion migration-controllable molecular bridges, which are prepared by reactions of poly(4-styrenesulfonic acid) (PSSA), diethylenetriamine (DETA), and lithium hydroxide (LiOH) are demonstrated. The ion conductivity of PSSA:LiOH:DETA (1:0.4:X, PLiD) films is remarkably changed by the molar ratio (X) of DETA, which is attributed to the extended distances between the PSSA chains by the DETA bridges. The devices with the PLiD layers deliver noticeably changed hysteresis reaching an optimum at X = 0.2, leading to the longest retention of current signals upon single/double pulses. The long-term potentiation test confirms that the present OSTRs can gradually build up the postsynaptic current by gate pulses of -2 V, while the long-term depression can be adjusted by varying the depression gate pulses (≈0.2-1.2 V). The artificial neural network simulations disclose that the present OSTRs with the ion migration-controlled PLiD layers can perform synaptic processes with an accuracy of ≈96%.
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Affiliation(s)
- Woongki Lee
- Organic Nanoelectronics Laboratory and KNU Institute for Nanophotonics Applications (KINPA), Department of Chemical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea
- Department of Chemistry and Centre for Processable Electronics, Imperial College London, London, W12 0BZ, UK
| | - Taehoon Kim
- Organic Nanoelectronics Laboratory and KNU Institute for Nanophotonics Applications (KINPA), Department of Chemical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Hwajeong Kim
- Organic Nanoelectronics Laboratory and KNU Institute for Nanophotonics Applications (KINPA), Department of Chemical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea
- Priority Research Center, Research Institute of Environmental Science & Technology, Kyungpook National University, Daegu, 41566, Republic of Korea
| | - Youngkyoo Kim
- Organic Nanoelectronics Laboratory and KNU Institute for Nanophotonics Applications (KINPA), Department of Chemical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea
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3
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Zhao C, Yang J, Ma W. Transient Response and Ionic Dynamics in Organic Electrochemical Transistors. NANO-MICRO LETTERS 2024; 16:233. [PMID: 38954272 PMCID: PMC11219702 DOI: 10.1007/s40820-024-01452-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 06/05/2024] [Indexed: 07/04/2024]
Abstract
The rapid development of organic electrochemical transistors (OECTs) has ushered in a new era in organic electronics, distinguishing itself through its application in a variety of domains, from high-speed logic circuits to sensitive biosensors, and neuromorphic devices like artificial synapses and organic electrochemical random-access memories. Despite recent strides in enhancing OECT performance, driven by the demand for superior transient response capabilities, a comprehensive understanding of the complex interplay between charge and ion transport, alongside electron-ion interactions, as well as the optimization strategies, remains elusive. This review aims to bridge this gap by providing a systematic overview on the fundamental working principles of OECT transient responses, emphasizing advancements in device physics and optimization approaches. We review the critical aspect of transient ion dynamics in both volatile and non-volatile applications, as well as the impact of materials, morphology, device structure strategies on optimizing transient responses. This paper not only offers a detailed overview of the current state of the art, but also identifies promising avenues for future research, aiming to drive future performance advancements in diversified applications.
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Affiliation(s)
- Chao Zhao
- State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Jintao Yang
- State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Wei Ma
- State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
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Lee YJ, Kim YH, Lee EK. PEDOT:PSS-Based Prolonged Long-Term Decay Synaptic OECT with Proton-Permeable Material, Nafion. Macromol Rapid Commun 2024:e2400165. [PMID: 38924243 DOI: 10.1002/marc.202400165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/21/2024] [Indexed: 06/28/2024]
Abstract
Poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS), a conductive polymer, has gained popularity as the channel layer in organic electrochemical transistors (OECTs) due to its high conductivity and straightforward processing. However, difficulties arise in controlling its conductivity through gate voltage, presenting a challenge. To address this issue, aromatic amidine base, diazabicyclo[4.3.0]non-5-ene (DBN), is used to stabilize the doping state of the PEDOT chain through a reliable chemical de-doping process. Furthermore, the addition of the proton-penetrable material Nafion to the PEDOT:PSS channel layer induces phase separation between the substances. By utilizing a solution containing both PEDOT:PSS and Nafion as the channel layer of OECTs, the efficiency of ion movement into the channel from the electrolyte is enhanced, resulting in improved OECT performance. The inclusion of Nafion in the OECTs' channel layer modifies ion movement dynamics, allowing for the adjustment of synaptic properties such as pulse-paired facilitation, memory level, short-term plasticity, and long-term plasticity. This research aims to introduce new possibilities in the field of neuromorphic computing and contribute to biomimetic technology through the enhancement of electronic component performance.
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Affiliation(s)
- Ye Ji Lee
- Department of Chemical Engineering, Pukyong National University, Busan, 48513, Republic of Korea
| | - Yong Hyun Kim
- Department of Smart Green Technology Engineering, Pukyong National University, Busan, 48513, Republic of Korea
- School of Electrical Engineering, Pukyong National University, Busan, 48513, Republic of Korea
| | - Eun Kwang Lee
- Department of Chemical Engineering, Pukyong National University, Busan, 48513, Republic of Korea
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5
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Kelly AR, Glover DJ. Information Transmission through Biotic-Abiotic Interfaces to Restore or Enhance Human Function. ACS APPLIED BIO MATERIALS 2024; 7:3605-3628. [PMID: 38729914 DOI: 10.1021/acsabm.4c00435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
Advancements in reliable information transfer across biotic-abiotic interfaces have enabled the restoration of lost human function. For example, communication between neuronal cells and electrical devices restores the ability to walk to a tetraplegic patient and vision to patients blinded by retinal disease. These impactful medical achievements are aided by tailored biotic-abiotic interfaces that maximize information transfer fidelity by considering the physical properties of the underlying biological and synthetic components. This Review develops a modular framework to define and describe the engineering of biotic and abiotic components as well as the design of interfaces to facilitate biotic-abiotic information transfer using light or electricity. Delineating the properties of the biotic, interface, and abiotic components that enable communication can serve as a guide for future research in this highly interdisciplinary field. Application of synthetic biology to engineer light-sensitive proteins has facilitated the control of neural signaling and the restoration of rudimentary vision after retinal blindness. Electrophysiological methodologies that use brain-computer interfaces and stimulating implants to bypass spinal column injuries have led to the rehabilitation of limb movement and walking ability. Cellular interfacing methodologies and on-chip learning capability have been made possible by organic transistors that mimic the information processing capacity of neurons. The collaboration of molecular biologists, material scientists, and electrical engineers in the emerging field of biotic-abiotic interfacing will lead to the development of prosthetics capable of responding to thought and experiencing touch sensation via direct integration into the human nervous system. Further interdisciplinary research will improve electrical and optical interfacing technologies for the restoration of vision, offering greater visual acuity and potentially color vision in the near future.
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Affiliation(s)
- Alexander R Kelly
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dominic J Glover
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
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Gryszel M, Byun D, Burtscher B, Abrahamsson T, Brodsky J, Simon DT, Berggren M, Glowacki ED, Strakosas X, Donahue MJ. Vertical organic electrochemical transistor platforms for efficient electropolymerization of thiophene based oligomers. JOURNAL OF MATERIALS CHEMISTRY. C 2024; 12:5339-5346. [PMID: 38645749 PMCID: PMC11025323 DOI: 10.1039/d3tc04730j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/23/2024] [Indexed: 04/23/2024]
Abstract
Organic electrochemical transistors (OECTs) have emerged as promising candidates for various fields, including bioelectronics, neuromorphic computing, biosensors, and wearable electronics. OECTs operate in aqueous solutions, exhibit high amplification properties, and offer ion-to-electron signal transduction. The OECT channel consists of a conducting polymer, with PEDOT:PSS receiving the most attention to date. While PEDOT:PSS is highly conductive, and benefits from optimized protocols using secondary dopants and detergents, new p-type and n-type polymers are emerging with desirable material properties. Among these, low-oxidation potential oligomers are highly enabling for bioelectronics applications, however the polymers resulting from their polymerization lag far behind in conductivity compared with the established PEDOT:PSS. In this work we show that by careful design of the OECT geometrical characteristics, we can overcome this limitation and achieve devices that are on-par with transistors employing PEDOT:PSS. We demonstrate that the vertical architecture allows for facile electropolymerization of a family of trimers that are polymerized in very low oxidation potentials, without the need for harsh chemicals or secondary dopants. Vertical and planar OECTs are compared using various characterization methods. We show that vOECTs are superior platforms in general and propose that the vertical architecture can be expanded for the realization of OECTs for various applications.
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Affiliation(s)
- Maciej Gryszel
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Donghak Byun
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Bernhard Burtscher
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Tobias Abrahamsson
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Jan Brodsky
- Bioelectronics Materials and Devices Lab, Central European Institute of Technology, Brno University of Technology Purkyňova 123 61200 Brno Czech Republic
| | - Daniel Theodore Simon
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Eric Daniel Glowacki
- Bioelectronics Materials and Devices Lab, Central European Institute of Technology, Brno University of Technology Purkyňova 123 61200 Brno Czech Republic
| | - Xenofon Strakosas
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
| | - Mary Jocelyn Donahue
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University 60174 Norrköping Sweden
- Bioelectronics Materials and Devices Lab, Central European Institute of Technology, Brno University of Technology Purkyňova 123 61200 Brno Czech Republic
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7
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Bag SP, Lee S, Song J, Kim J. Hydrogel-Gated FETs in Neuromorphic Computing to Mimic Biological Signal: A Review. BIOSENSORS 2024; 14:150. [PMID: 38534257 DOI: 10.3390/bios14030150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 03/28/2024]
Abstract
Hydrogel-gated synaptic transistors offer unique advantages, including biocompatibility, tunable electrical properties, being biodegradable, and having an ability to mimic biological synaptic plasticity. For processing massive data with ultralow power consumption due to high parallelism and human brain-like processing abilities, synaptic transistors have been widely considered for replacing von Neumann architecture-based traditional computers due to the parting of memory and control units. The crucial components mimic the complex biological signal, synaptic, and sensing systems. Hydrogel, as a gate dielectric, is the key factor for ionotropic devices owing to the excellent stability, ultra-high linearity, and extremely low operating voltage of the biodegradable and biocompatible polymers. Moreover, hydrogel exhibits ionotronic functions through a hybrid circuit of mobile ions and mobile electrons that can easily interface between machines and humans. To determine the high-efficiency neuromorphic chips, the development of synaptic devices based on organic field effect transistors (OFETs) with ultra-low power dissipation and very large-scale integration, including bio-friendly devices, is needed. This review highlights the latest advancements in neuromorphic computing by exploring synaptic transistor developments. Here, we focus on hydrogel-based ionic-gated three-terminal (3T) synaptic devices, their essential components, and their working principle, and summarize the essential neurodegenerative applications published recently. In addition, because hydrogel-gated FETs are the crucial members of neuromorphic devices in terms of cutting-edge synaptic progress and performances, the review will also summarize the biodegradable and biocompatible polymers with which such devices can be implemented. It is expected that neuromorphic devices might provide potential solutions for the future generation of interactive sensation, memory, and computation to facilitate the development of multimodal, large-scale, ultralow-power intelligent systems.
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Affiliation(s)
- Sankar Prasad Bag
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Suyoung Lee
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Jaeyoon Song
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Jinsink Kim
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
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8
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Liu X, Sun C, Ye X, Zhu X, Hu C, Tan H, He S, Shao M, Li RW. Neuromorphic Nanoionics for Human-Machine Interaction: From Materials to Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2311472. [PMID: 38421081 DOI: 10.1002/adma.202311472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/06/2024] [Indexed: 03/02/2024]
Abstract
Human-machine interaction (HMI) technology has undergone significant advancements in recent years, enabling seamless communication between humans and machines. Its expansion has extended into various emerging domains, including human healthcare, machine perception, and biointerfaces, thereby magnifying the demand for advanced intelligent technologies. Neuromorphic computing, a paradigm rooted in nanoionic devices that emulate the operations and architecture of the human brain, has emerged as a powerful tool for highly efficient information processing. This paper delivers a comprehensive review of recent developments in nanoionic device-based neuromorphic computing technologies and their pivotal role in shaping the next-generation of HMI. Through a detailed examination of fundamental mechanisms and behaviors, the paper explores the ability of nanoionic memristors and ion-gated transistors to emulate the intricate functions of neurons and synapses. Crucial performance metrics, such as reliability, energy efficiency, flexibility, and biocompatibility, are rigorously evaluated. Potential applications, challenges, and opportunities of using the neuromorphic computing technologies in emerging HMI technologies, are discussed and outlooked, shedding light on the fusion of humans with machines.
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Affiliation(s)
- Xuerong Liu
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Cui Sun
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
| | - Xiaoyu Ye
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
| | - Xiaojian Zhu
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
| | - Cong Hu
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
| | - Hongwei Tan
- Department of Applied Physics, Aalto University, Aalto, FI-00076, Finland
| | - Shang He
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
| | - Mengjie Shao
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
| | - Run-Wei Li
- CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China
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Kwak H, Kim N, Jeon S, Kim S, Woo J. Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing. NANO CONVERGENCE 2024; 11:9. [PMID: 38416323 PMCID: PMC10902254 DOI: 10.1186/s40580-024-00415-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/30/2024] [Indexed: 02/29/2024]
Abstract
Artificial neural networks (ANNs), inspired by the human brain's network of neurons and synapses, enable computing machines and systems to execute cognitive tasks, thus embodying artificial intelligence (AI). Since the performance of ANNs generally improves with the expansion of the network size, and also most of the computation time is spent for matrix operations, AI computation have been performed not only using the general-purpose central processing unit (CPU) but also architectures that facilitate parallel computation, such as graphic processing units (GPUs) and custom-designed application-specific integrated circuits (ASICs). Nevertheless, the substantial energy consumption stemming from frequent data transfers between processing units and memory has remained a persistent challenge. In response, a novel approach has emerged: an in-memory computing architecture harnessing analog memory elements. This innovation promises a notable advancement in energy efficiency. The core of this analog AI hardware accelerator lies in expansive arrays of non-volatile memory devices, known as resistive processing units (RPUs). These RPUs facilitate massively parallel matrix operations, leading to significant enhancements in both performance and energy efficiency. Electrochemical random-access memory (ECRAM), leveraging ion dynamics in secondary-ion battery materials, has emerged as a promising candidate for RPUs. ECRAM achieves over 1000 memory states through precise ion movement control, prompting early-stage research into material stacks such as mobile ion species and electrolyte materials. Crucially, the analog states in ECRAMs update symmetrically with pulse number (or voltage polarity), contributing to high network performance. Recent strides in device engineering in planar and three-dimensional structures and the understanding of ECRAM operation physics have marked significant progress in a short research period. This paper aims to review ECRAM material advancements through literature surveys, offering a systematic discussion on engineering assessments for ion control and a physical understanding of array-level demonstrations. Finally, the review outlines future directions for improvements, co-optimization, and multidisciplinary collaboration in circuits, algorithms, and applications to develop energy-efficient, next-generation AI hardware systems.
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Affiliation(s)
- Hyunjeong Kwak
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea
| | - Nayeon Kim
- School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea
| | - Seonuk Jeon
- School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea
| | - Seyoung Kim
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea.
| | - Jiyong Woo
- School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea.
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10
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Mariani F, Decataldo F, Bonafè F, Tessarolo M, Cramer T, Gualandi I, Fraboni B, Scavetta E. High-Endurance Long-Term Potentiation in Neuromorphic Organic Electrochemical Transistors by PEDOT:PSS Electrochemical Polymerization on the Gate Electrode. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37966461 DOI: 10.1021/acsami.3c10576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
The brain exhibits extraordinary information processing capabilities thanks to neural networks that can operate in parallel with minimal energy consumption. Memory and learning require the creation of new neural networks through the long-term modification of the structure of the synapses, a phenomenon called long-term plasticity. Here, we use an organic electrochemical transistor to simulate long-term potentiation and depotentiation processes. Similarly to what happens in a synapse, the polymerization of the 3,4-ethylenedioxythiophene (EDOT) on the gate electrode modifies the structure of the device and boosts the ability of the gate potential to modify the conductivity of the channel. Operando AFM measurements were carried out to demonstrate the correlation between neuromorphic behavior and modification of the gate electrode. Long-term enhancement depends on both the number of pulses used and the gate potential, which generates long-term potentiation when a threshold of +0.7 V is overcome. Long-term depotentiation occurs by applying a +3.0 V potential and exploits the overoxidation of the deposited PEDOT:PSS. The induced states are stable for at least 2 months. The developed device shows very interesting characteristics in the field of neuromorphic electronics.
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Affiliation(s)
- Federica Mariani
- Department of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum - University of Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy
| | - Francesco Decataldo
- Department of Physics and Astronomy, Alma Mater Studiorum - University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy
| | - Filippo Bonafè
- Department of Physics and Astronomy, Alma Mater Studiorum - University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy
| | - Marta Tessarolo
- Department of Physics and Astronomy, Alma Mater Studiorum - University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy
| | - Tobias Cramer
- Department of Physics and Astronomy, Alma Mater Studiorum - University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy
| | - Isacco Gualandi
- Department of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum - University of Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy
| | - Beatrice Fraboni
- Department of Physics and Astronomy, Alma Mater Studiorum - University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy
| | - Erika Scavetta
- Department of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum - University of Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy
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11
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Mohamed E, Tchorz N, Marlow F. Iontronic memories based on ionic redox systems: operation protocols. Faraday Discuss 2023; 246:296-306. [PMID: 37424503 DOI: 10.1039/d3fd00020f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
A recently developed, new ionic device called the ionic voltage effect soft triode (IVEST) was optimized, tuned and embedded into a memory application concept. The device is an electrochemical micro-cell, consisting of a top electrode and two bottom electrodes. The device controls the concentration and diffusion of ions via the voltage applied on the top electrode. The device showed a memory effect lasting up to 6 hours. Despite the remarkably large stability time, the memory contrast was small in the first device versions. Now, we have increased the memory contrast by introducing a new external electrical circuit layout combined with a new operation protocol. This new investigation also reveals peculiarities of the memory and shows that the IVEST can be used in memory applications. These iontronic memories show a secondary information storage connected with the read-out frequency.
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Affiliation(s)
- Elalyaa Mohamed
- MPI für Kohlenforschung, Kaiser-Wilhelm-Platz 1, Mülheim an der Ruhr, 45470, Germany.
| | - Nico Tchorz
- MPI für Kohlenforschung, Kaiser-Wilhelm-Platz 1, Mülheim an der Ruhr, 45470, Germany.
| | - Frank Marlow
- MPI für Kohlenforschung, Kaiser-Wilhelm-Platz 1, Mülheim an der Ruhr, 45470, Germany.
- Center for Nanointegration Duisburg-Essen (CENIDE), University of Duisburg-Essen, Duisburg, 47057, Germany
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12
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Feng C, Wu W, Liu H, Wang J, Wan H, Ma G, Wang H. Emerging Opportunities for 2D Materials in Neuromorphic Computing. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2720. [PMID: 37836361 PMCID: PMC10574516 DOI: 10.3390/nano13192720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/01/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023]
Abstract
Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices. Two-dimensional materials possess unique characteristics such as near-atomic thickness, dangling-bond-free surfaces, and excellent mechanical properties. These features, which traditional electronic materials cannot achieve, hold great promise for high-performance neuromorphic computing devices with the advantages of high energy efficiency and integration density. This article provides a comprehensive overview of various 2D materials, including graphene, transition metal dichalcogenides (TMDs), hexagonal boron nitride (h-BN), and black phosphorus (BP), for neuromorphic computing applications. The potential of these materials in neuromorphic computing is discussed from the perspectives of material properties, growth methods, and device operation principles.
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Affiliation(s)
- Chenyin Feng
- Hubei Yangtze Memory Laboratories, Wuhan 430070, China
- Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan 430062, China
| | - Wenwei Wu
- Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan 430062, China
| | - Huidi Liu
- Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan 430062, China
| | - Junke Wang
- Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan 430062, China
| | - Houzhao Wan
- Hubei Yangtze Memory Laboratories, Wuhan 430070, China
| | - Guokun Ma
- Hubei Yangtze Memory Laboratories, Wuhan 430070, China
| | - Hao Wang
- Hubei Yangtze Memory Laboratories, Wuhan 430070, China
- Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan 430062, China
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13
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Wu HY, Huang JD, Jeong SY, Liu T, Wu Z, van der Pol T, Wang Q, Stoeckel MA, Li Q, Fahlman M, Tu D, Woo HY, Yang CY, Fabiano S. Stable organic electrochemical neurons based on p-type and n-type ladder polymers. MATERIALS HORIZONS 2023; 10:4213-4223. [PMID: 37477499 DOI: 10.1039/d3mh00858d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Organic electrochemical transistors (OECTs) are a rapidly advancing technology that plays a crucial role in the development of next-generation bioelectronic devices. Recent advances in p-type/n-type organic mixed ionic-electronic conductors (OMIECs) have enabled power-efficient complementary OECT technologies for various applications, such as chemical/biological sensing, large-scale logic gates, and neuromorphic computing. However, ensuring long-term operational stability remains a significant challenge that hinders their widespread adoption. While p-type OMIECs are generally more stable than n-type OMIECs, they still face limitations, especially during prolonged operations. Here, we demonstrate that simple methylation of the pyrrole-benzothiazine-based (PBBT) ladder polymer backbone results in stable and high-performance p-type OECTs. The methylated PBBT (PBBT-Me) exhibits a 25-fold increase in OECT mobility and an impressive 36-fold increase in μC* (mobility × volumetric capacitance) compared to the non-methylated PBBT-H polymer. Combining the newly developed PBBT-Me with the ladder n-type poly(benzimidazobenzophenanthroline) (BBL), we developed complementary inverters with a record-high DC gain of 194 V V-1 and excellent stability. These state-of-the-art complementary inverters were used to demonstrate leaky integrate-and-fire type organic electrochemical neurons (LIF-OECNs) capable of biologically relevant firing frequencies of about 2 Hz and of operating continuously for up to 6.5 h. This achievement represents a significant improvement over previous results and holds great potential for developing stable bioelectronic circuits capable of in-sensor computing.
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Affiliation(s)
- Han-Yan Wu
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Jun-Da Huang
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
- n-Ink AB, Bredgatan 33, SE-60221 Norrköping, Sweden
| | - Sang Young Jeong
- Department of Chemistry, College of Science, Korea University, Seoul 136-713, Republic of Korea
| | - Tiefeng Liu
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Ziang Wu
- Department of Chemistry, College of Science, Korea University, Seoul 136-713, Republic of Korea
| | - Tom van der Pol
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Qingqing Wang
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Marc-Antoine Stoeckel
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
- n-Ink AB, Bredgatan 33, SE-60221 Norrköping, Sweden
| | - Qifan Li
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Mats Fahlman
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Deyu Tu
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
| | - Han Young Woo
- Department of Chemistry, College of Science, Korea University, Seoul 136-713, Republic of Korea
| | - Chi-Yuan Yang
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
- n-Ink AB, Bredgatan 33, SE-60221 Norrköping, Sweden
| | - Simone Fabiano
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
- n-Ink AB, Bredgatan 33, SE-60221 Norrköping, Sweden
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14
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Dai S, Liu X, Liu Y, Xu Y, Zhang J, Wu Y, Cheng P, Xiong L, Huang J. Emerging Iontronic Neural Devices for Neuromorphic Sensory Computing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2300329. [PMID: 36891745 DOI: 10.1002/adma.202300329] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/22/2023] [Indexed: 06/18/2023]
Abstract
Living organisms have a very mysterious and powerful sensory computing system based on ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a promising platform for simulating the sensing and computing functions of living organisms, because: 1) iontronic devices can generate, store, and transmit a variety of signals by adjusting the concentration and spatiotemporal distribution of ions, which analogs to how the brain performs intelligent functions by alternating ion flux and polarization; 2) through ionic-electronic coupling, iontronic devices can bridge the biosystem with electronics and offer profound implications for soft electronics; 3) with the diversity of ions, iontronic devices can be designed to recognize specific ions or molecules by customizing the charge selectivity, and the ionic conductivity and capacitance can be adjusted to respond to external stimuli for a variety of sensing schemes, which can be more difficult for electron-based devices. This review provides a comprehensive overview of emerging neuromorphic sensory computing by iontronic devices, highlighting representative concepts of both low-level and high-level sensory computing and introducing important material and device breakthroughs. Moreover, iontronic devices as a means of neuromorphic sensing and computing are discussed regarding the pending challenges and future directions.
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Affiliation(s)
- Shilei Dai
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, Tongji University, Shanghai, 200434, P. R. China
- Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, 999077, China
| | - Xu Liu
- Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Youdi Liu
- Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, State College, PA, 16802, USA
| | - Yutong Xu
- Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Junyao Zhang
- Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Yue Wu
- Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Ping Cheng
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA
| | - Lize Xiong
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, Tongji University, Shanghai, 200434, P. R. China
| | - Jia Huang
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, Tongji University, Shanghai, 200434, P. R. China
- Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
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15
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Le VN, Bombile JH, Rupasinghe GS, Baustert KN, Li R, Maria IP, Shahi M, Alarcon Espejo P, McCulloch I, Graham KR, Risko C, Paterson AF. New Chemical Dopant and Counterion Mechanism for Organic Electrochemical Transistors and Organic Mixed Ionic-Electronic Conductors. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207694. [PMID: 37466175 PMCID: PMC10520668 DOI: 10.1002/advs.202207694] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/07/2023] [Indexed: 07/20/2023]
Abstract
Organic mixed ionic-electronic conductors (OMIECs) have varied performance requirements across a diverse application space. Chemically doping the OMIEC can be a simple, low-cost approach for adapting performance metrics. However, complex challenges, such as identifying new dopant materials and elucidating design rules, inhibit its realization. Here, these challenges are approached by introducing a new n-dopant, tetrabutylammonium hydroxide (TBA-OH), and identifying a new design consideration underpinning its success. TBA-OH behaves as both a chemical n-dopant and morphology additive in donor acceptor co-polymer naphthodithiophene diimide-based polymer, which serves as an electron transporting material in organic electrochemical transistors (OECTs). The combined effects enhance OECT transconductance, charge carrier mobility, and volumetric capacitance, representative of the key metrics underpinning all OMIEC applications. Additionally, when the TBA+ counterion adopts an "edge-on" location relative to the polymer backbone, Coulombic interaction between the counterion and polaron is reduced, and polaron delocalization increases. This is the first time such mechanisms are identified in doped-OECTs and doped-OMIECs. The work herein therefore takes the first steps toward developing the design guidelines needed to realize chemical doping as a generic strategy for tailoring performance metrics in OECTs and OMIECs.
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Affiliation(s)
- Vianna N. Le
- Department of Chemical and Materials EngineeringDepartment of Electrical EngineeringCentre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
| | - Joel H. Bombile
- Department of Chemistryand Centre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
| | - Gehan S. Rupasinghe
- Department of Chemical and Materials EngineeringDepartment of Electrical EngineeringCentre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
| | - Kyle N. Baustert
- Department of ChemistryUniversity of KentuckyLexingtonKY40506USA
| | | | - Iuliana P. Maria
- Department of ChemistryChemistry Research LaboratoryUniversity of OxfordOxfordOX1 3TAUK
| | - Maryam Shahi
- Department of Chemical and Materials EngineeringDepartment of Electrical EngineeringCentre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
| | - Paula Alarcon Espejo
- Department of Chemical and Materials EngineeringDepartment of Electrical EngineeringCentre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
| | - Iain McCulloch
- Department of ChemistryChemistry Research LaboratoryUniversity of OxfordOxfordOX1 3TAUK
- King Abdullah University of Science and TechnologyKAUST Solar CentreThuwal23955‐6900Saudi Arabia
| | | | - Chad Risko
- Department of Chemistryand Centre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
| | - Alexandra F. Paterson
- Department of Chemical and Materials EngineeringDepartment of Electrical EngineeringCentre for Applied Energy ResearchUniversity of KentuckyLexingtonKY40506USA
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16
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Gerasimov JY, Tu D, Hitaishi V, Harikesh PC, Yang CY, Abrahamsson T, Rad M, Donahue MJ, Ejneby MS, Berggren M, Forchheimer R, Fabiano S. A Biologically Interfaced Evolvable Organic Pattern Classifier. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207023. [PMID: 36935358 DOI: 10.1002/advs.202207023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/16/2023] [Indexed: 05/18/2023]
Abstract
Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits within the nervous system and other living tissue. New devices will need to be developed that can receive data from a sensor array, process these data into meaningful information, and translate that information into a format that can be interpreted by living systems. Here, the first example of interfacing a hardware-based pattern classifier with a biological nerve is reported. The classifier implements the Widrow-Hoff learning algorithm on an array of evolvable organic electrochemical transistors (EOECTs). The EOECTs' channel conductance is modulated in situ by electropolymerizing the semiconductor material within the channel, allowing for low voltage operation, high reproducibility, and an improvement in state retention by two orders of magnitude over state-of-the-art OECT devices. The organic classifier is interfaced with a biological nerve using an organic electrochemical spiking neuron to translate the classifier's output to a simulated action potential. The latter is then used to stimulate muscle contraction selectively based on the input pattern, thus paving the way for the development of adaptive neural interfaces for closed-loop therapeutic systems.
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Affiliation(s)
- Jennifer Y Gerasimov
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Deyu Tu
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Vivek Hitaishi
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Padinhare Cholakkal Harikesh
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Chi-Yuan Yang
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Tobias Abrahamsson
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Meysam Rad
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Mary J Donahue
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Malin Silverå Ejneby
- Department of Biomedical Engineering, Linköping University, Linköping, SE-581 83, Sweden
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Robert Forchheimer
- Department of Electrical Engineering, Linköping University, Linköping, SE-581 83, Sweden
| | - Simone Fabiano
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
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17
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Wu M, Yao K, Huang N, Li H, Zhou J, Shi R, Li J, Huang X, Li J, Jia H, Gao Z, Wong TH, Li D, Hou S, Liu Y, Zhang S, Song E, Yu J, Yu X. Ultrathin, Soft, Bioresorbable Organic Electrochemical Transistors for Transient Spatiotemporal Mapping of Brain Activity. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300504. [PMID: 36825679 DOI: 10.1002/advs.202300504] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Indexed: 05/18/2023]
Abstract
A critical challenge lies in the development of the next-generation neural interface, in mechanically tissue-compatible fashion, that offer accurate, transient recording electrophysiological (EP) information and autonomous degradation after stable operation. Here, an ultrathin, lightweight, soft and multichannel neural interface is presented based on organic-electrochemical-transistor-(OECT)-based network, with capabilities of continuous high-fidelity mapping of neural signals and biosafety active degrading after performing functions. Such platform yields a high spatiotemporal resolution of 1.42 ms and 20 µm, with signal-to-noise ratio up to ≈37 dB. The implantable OECT arrays can well establish stable functional neural interfaces, designed as fully biodegradable electronic platforms in vivo. Demonstrated applications of such OECT implants include real-time monitoring of electrical activities from the cortical surface of rats under various conditions (e.g., narcosis, epileptic seizure, and electric stimuli) and electrocorticography mapping from 100 channels. This technology offers general applicability in neural interfaces, with great potential utility in treatment/diagnosis of neurological disorders.
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Affiliation(s)
- Mengge Wu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, P. R. China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Kuanming Yao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Ningge Huang
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Hu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Jingkun Zhou
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Rui Shi
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Jiyu Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Xingcan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Jian Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Huiling Jia
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Zhan Gao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Tsz Hung Wong
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Dengfeng Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
| | - Sihui Hou
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, P. R. China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Yiming Liu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
| | - Shiming Zhang
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, P. R. China
| | - Enming Song
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, P. R. China
| | - Junsheng Yu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, P. R. China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, P. R. China
- Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, P. R. China
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18
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Yamamoto S. Polymer‐based
neuromorphic devices: resistive switches and organic electrochemical transistors. POLYM INT 2023. [DOI: 10.1002/pi.6520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
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19
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Cucchi M, Parker D, Stavrinidou E, Gkoupidenis P, Kleemann H. In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2209516. [PMID: 36813270 DOI: 10.1002/adma.202209516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 12/22/2022] [Indexed: 06/18/2023]
Abstract
Next-generation implantable computational devices require long-term-stable electronic components capable of operating in, and interacting with, electrolytic surroundings without being damaged. Organic electrochemical transistors (OECTs) emerged as fitting candidates. However, while single devices feature impressive figures of merit, integrated circuits (ICs) immersed in common electrolytes are hard to realize using electrochemical transistors, and there is no clear path forward for optimal top-down circuit design and high-density integration. The simple observation that two OECTs immersed in the same electrolytic medium will inevitably interact hampers their implementation in complex circuitry. The electrolyte's ionic conductivity connects all the devices in the liquid, producing unwanted and often unforeseeable dynamics. Minimizing or harnessing this crosstalk has been the focus of very recent studies. Herein, the main challenges, trends, and opportunities for realizing OECT-based circuitry in a liquid environment that could circumnavigate the hard limits of engineering and human physiology, are discussed. The most successful approaches in autonomous bioelectronics and information processing are analyzed. Elaborating on the strategies to circumvent and harness device crosstalk proves that platforms capable of complex computation and even machine learning (ML) can be realized in liquido using mixed ionic-electronic conductors (OMIECs).
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Affiliation(s)
- Matteo Cucchi
- Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory for Soft Bioelectronic Interfaces, Neuro-X Institute, Chemin des Mines 9, Geneva, 1202, Switzerland
- Dresden Integrated Center for Applied Photophysics and Photonic Materials (IAPP), Technische Universität Dresden, Helmholtzstr. 1, 01187, Dresden, Germany
| | - Daniela Parker
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | | | - Hans Kleemann
- Dresden Integrated Center for Applied Photophysics and Photonic Materials (IAPP), Technische Universität Dresden, Helmholtzstr. 1, 01187, Dresden, Germany
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20
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Gonzales C, Guerrero A. Mechanistic and Kinetic Analysis of Perovskite Memristors with Buffer Layers: The Case of a Two-Step Set Process. J Phys Chem Lett 2023; 14:1395-1402. [PMID: 36738280 PMCID: PMC9940207 DOI: 10.1021/acs.jpclett.2c03669] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
With the increasing demand for artificially intelligent hardware systems for brain-inspired in-memory and neuromorphic computing, understanding the underlying mechanisms in the resistive switching of memristor devices is of paramount importance. Here, we demonstrate a two-step resistive switching set process involving a complex interplay among mobile halide ions/vacancies (I-/VI+) and silver ions (Ag+) in perovskite-based memristors with thin undoped buffer layers. The resistive switching involves an initial gradual increase in current associated with a drift-related halide migration within the perovskite bulk layer followed by an abrupt resistive switching associated with diffusion of mobile Ag+ conductive filamentary formation. Furthermore, we develop a dynamical model that explains the characteristic I-V curve that helps to untangle and quantify the switching regimes consistent with the experimental memristive response. This further insight into the two-step set process provides another degree of freedom in device design for versatile applications with varying levels of complexity.
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21
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Yu JS, Kim JH. Electro-optical synaptic characteristics of ferroelectric liquid crystals for artificial intelligence. APPLIED OPTICS 2023; 62:914-920. [PMID: 36821144 DOI: 10.1364/ao.478415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/23/2022] [Indexed: 06/18/2023]
Abstract
We propose electro-optical synaptic devices using surface-stabilized ferroelectric liquid crystals. Typical synaptic characteristics were observed for varying pulse time intervals, numbers of pulses, and signal voltages. Plasticity only occurred when pulses were applied at intervals shorter than the response time of the ferroelectric liquid crystal. Moreover, the plasticity increased with a higher pulse voltage and number of pulses. This demonstrates the importance of repeated learning. The synaptic weights required to make connections through learning in an artificial neural network can be determined by tuning the pulse signal. We discuss the high-speed computational potential of optical neuromorphic devices using liquid crystals.
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22
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Iontronic analog of synaptic plasticity: Hydrogel-based ionic diode with chemical precipitation and dissolution. Proc Natl Acad Sci U S A 2023; 120:e2211442120. [PMID: 36574693 PMCID: PMC9910479 DOI: 10.1073/pnas.2211442120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
In this study, an aqueous nonlinear synaptic element showing plasticity behavior is developed, which is based on the chemical processes in an ionic diode. The device is simple, fully ionic, and easily configurable, requiring only two terminals-for input and output-similar to biological synapses. The key processes realizing the plasticity features are chemical precipitation and dissolution, which occur at forward- or reverse-biased ionic diode junctions in appropriate reservoir electrolytes. Given that the precipitate acts as a physical barrier in the circuit, the above processes change the diode conductivity, which can be interpreted as adjusting "synaptic weight" of the system. By varying the operating conditions, we first demonstrate the four types of plasticity that can be found in biological system: long-term potentiation/depression and short-term potentiation/depression. The plasticity of the proposed iontronic device has characteristics similar to those of neural synapses. To demonstrate its potential use in comparatively complex information processing, we develop a precipitation-based iontronic synapse (PIS) capable of both potentiation and depression. Finally, we show that the postsynaptic signals from the multiple excitatory or inhibitory PISs can be integrated into the total "dendritic" current, which is a function of time and input history, as in actual hippocampal neural circuits.
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23
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Müllen K, Scherf U. Conjugated Polymers: Where We Come From, Where We Stand, and Where We Might Go. MACROMOL CHEM PHYS 2022. [DOI: 10.1002/macp.202200337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Klaus Müllen
- Max Planck Institute for Polymer Research Ackermannweg 10 D‐50128 Mainz Germany
| | - Ullrich Scherf
- Department of Chemistry, Macromolecular Chemistry Group (BUWmakro), and Wuppertal Institute for Smart Materials & Systems (CM@S) University of Wuppertal Gauss‐Str. 20 D‐42119 Wuppertal Germany
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24
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Wang S, Liu X, Zhou P. The Road for 2D Semiconductors in the Silicon Age. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2106886. [PMID: 34741478 DOI: 10.1002/adma.202106886] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/21/2021] [Indexed: 06/13/2023]
Abstract
Continued reduction in transistor size can improve the performance of silicon integrated circuits (ICs). However, as Moore's law approaches physical limits, high-performance growth in silicon ICs becomes unsustainable, due to challenges of scaling, energy efficiency, and memory limitations. The ultrathin layers, diverse band structures, unique electronic properties, and silicon-compatible processes of 2D materials create the potential to consistently drive advanced performance in ICs. Here, the potential of fusing 2D materials with silicon ICs to minimize the challenges in silicon ICs, and to create technologies beyond the von Neumann architecture, is presented, and the killer applications for 2D materials in logic and memory devices to ease scaling, energy efficiency bottlenecks, and memory dilemmas encountered in silicon ICs are discussed. The fusion of 2D materials allows the creation of all-in-one perception, memory, and computation technologies beyond the von Neumann architecture to enhance system efficiency and remove computing power bottlenecks. Progress on the 2D ICs demonstration is summarized, as well as the technical hurdles it faces in terms of wafer-scale heterostructure growth, transfer, and compatible integration with silicon ICs. Finally, the promising pathways and obstacles to the technological advances in ICs due to the integration of 2D materials with silicon are presented.
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Affiliation(s)
- Shuiyuan Wang
- ASIC & System State Key Lab, School of Microelectronics, Fudan University, Shanghai, 200433, China
| | - Xiaoxian Liu
- ASIC & System State Key Lab, School of Microelectronics, Fudan University, Shanghai, 200433, China
| | - Peng Zhou
- ASIC & System State Key Lab, School of Microelectronics, Fudan University, Shanghai, 200433, China
- Frontier Institute of Chip and System, Shanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433, China
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25
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Wang H, Chen Y, Ni Z, Samorì P. An Electrochemical-Electret Coupled Organic Synapse with Single-Polarity Driven Reversible Facilitation-to-Depression Switching. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2205945. [PMID: 36201378 DOI: 10.1002/adma.202205945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/25/2022] [Indexed: 06/16/2023]
Abstract
Neuromorphic engineering and artificial intelligence demands hardware elements that emulates synapse algorithms. During the last decade electrolyte-gated organic conjugated materials have been explored as a platform for artificial synapses for neuromorphic computing. Unlike biological synapses, in current devices the synaptic facilitation and depression are triggered by voltages with opposite polarity. To enhance the reliability and simplify the operation of the synapse without lowering its sophisticated functionality, here, an electrochemical-electret coupled organic synapse (EECS) possessing a reversible facilitation-to-depression switch, is devised. Electret charging counterbalances channel conductance changes due to electrochemical doping, inducing depression without inverting the gate polarity. Overall, EECS functions as a threshold-controlled synaptic switch ruled by its amplitude-dependent, dual-modal operation, which can well emulate information storage and erase as in real synapses. By varying the energy level offset between the channel material and the electret, the EECS's transition threshold can be adjusted for specific applications, e.g., imparting additional light responsiveness to the device operation. The novel device architecture represents a major step forward in the development of artificial organic synapses with increased functional complexity and it opens new perspectives toward the fabrication of abiotic neural networks with higher reliability, efficiency, and endurance.
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Affiliation(s)
- Hanlin Wang
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
| | - Yusheng Chen
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
| | - Zhenjie Ni
- School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing, 101408, P. R. China
| | - Paolo Samorì
- Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France
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26
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Borrmann F, Tsuda T, Guskova O, Kiriy N, Hoffmann C, Neusser D, Ludwigs S, Lappan U, Simon F, Geisler M, Debnath B, Krupskaya Y, Al‐Hussein M, Kiriy A. Charge-Compensated N-Doped π-Conjugated Polymers: Toward both Thermodynamic Stability of N-Doped States in Water and High Electron Conductivity. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203530. [PMID: 36065004 PMCID: PMC9631074 DOI: 10.1002/advs.202203530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/27/2022] [Indexed: 05/28/2023]
Abstract
The understanding and applications of electron-conducting π-conjugated polymers with naphtalene diimide (NDI) blocks show remarkable progress in recent years. Such polymers demonstrate a facilitated n-doping due to the strong electron deficiency of the main polymer chain and the presence of the positively charged side groups stabilizing a negative charge of the n-doped backbone. Here, the n-type conducting NDI polymer with enhanced stability of its n-doped states for prospective "in-water" applications is developed. A combined experimental-theoretical approach is used to identify critical features and parameters that control the doping and electron transport process. The facilitated polymer reduction ability and the thermodynamic stability in water are confirmed by electrochemical measurements and doping studies. This material also demonstrates a high conductivity of 10-2 S cm-1 under ambient conditions and 10-1 S cm-1 in vacuum. The modeling explains the stabilizing effects for various dopants. The simulations show a significant doping-induced "collapse" of the positively charged side chains on the core bearing a partial negative charge. This explains a decrease in the lamellar spacing observed in experiments. This study fundamentally enables a novel pathway for achieving both thermodynamic stability of the n-doped states in water and the high electron conductivity of polymers.
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Affiliation(s)
- Fabian Borrmann
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - Takuya Tsuda
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - Olga Guskova
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
- Dresden Center for Computational Materials Science (DCMS)TU Dresden01062DresdenGermany
| | - Nataliya Kiriy
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - Cedric Hoffmann
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - David Neusser
- IPOC‐Functional PolymersInstitute of Polymer Chemistry & Center for Integrated Quantum Science and Technology (IQST)University of StuttgartPfaffenwaldring 5570569StuttgartGermany
| | - Sabine Ludwigs
- IPOC‐Functional PolymersInstitute of Polymer Chemistry & Center for Integrated Quantum Science and Technology (IQST)University of StuttgartPfaffenwaldring 5570569StuttgartGermany
| | - Uwe Lappan
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - Frank Simon
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - Martin Geisler
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
| | - Bipasha Debnath
- Leibniz‐Institut für Festkörper‐ und Werkstoffforschung DresdenHelmholtzstraße 2001069DresdenGermany
| | - Yulia Krupskaya
- Leibniz‐Institut für Festkörper‐ und Werkstoffforschung DresdenHelmholtzstraße 2001069DresdenGermany
| | - Mahmoud Al‐Hussein
- Physics Department and Hamdi Mango Center for Scientific ResearchThe University of JordanAmman11942Jordan
| | - Anton Kiriy
- Leibniz‐Institut für Polymerforschung Dresden e.VHohe Straße 601069DresdenGermany
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27
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Lee J, Chhatre S, Sitarik P, Wu Y, Baugh Q, Martin DC. Electrochemical Fabrication and Characterization of Organic Electrochemical Transistors Using poly(3,4-ethylenedioxythiophene) with Various Counterions. ACS APPLIED MATERIALS & INTERFACES 2022; 14:42289-42297. [PMID: 36095248 DOI: 10.1021/acsami.2c10149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Organic electrochemical transistors (OECTs) are promising bioelectronic devices, especially because of their ability to transport charge both ionically and electronically. Conductive polymers are typically used as the active materials of OECTs. Crosslinked, cast, and dried films of commercially available poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) suspensions are commonly and widely used for OECTs so far. Electrochemical polymerization of PEDOT from 3,4-ethylenedioxythiophene (EDOT) monomer can also be used to fabricate OECTs; however, this approach has not been investigated in as much detail. In particular, the role of various counterions that can be incorporated into the PEDOT films of OECTs has not been systematically studied. Here, we report the electrochemical fabrication and characterization of OECTs using PEDOT with several different counterion salts including lithium perchlorate (LiClO4), sodium p-toluene sulfonate (pTS), and poly(sodium 4-styrene sulfonate) (PSS). We found that the characteristic dimensions of PEDOT films deposited on the electrodes could be precisely controlled by total charge density, with a nominal thickness of about one micron requiring a current density of about 0.6 C/cm2 regardless of the choice of counterion. The films with the PSS counterion were relatively smooth, while PEDOT films prepared with the pTS and LiClO4 were much rougher due to the sizes of counterions. The PEDOT films with pTS and PSS grew along the substrate surface (in-plane direction) much faster than with LiClO4. The maximum transconductance (gm) of a PEDOT OECT was 46 mS with pTS as the counterion with the high on-current level (>10 mA) based on the large channel area. These results provide an effective and efficient way to fabricate OECTs with various monomers and additives as active materials in order to modify the device characteristics for further applications.
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Affiliation(s)
- Junghyun Lee
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Shrirang Chhatre
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Peter Sitarik
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Yuhang Wu
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Quintin Baugh
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - David C Martin
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States
- Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716, United States
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28
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Liu F, Deswal S, Christou A, Sandamirskaya Y, Kaboli M, Dahiya R. Neuro-inspired electronic skin for robots. Sci Robot 2022; 7:eabl7344. [PMID: 35675450 DOI: 10.1126/scirobotics.abl7344] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal, pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather and encode the large tactile data, allowing us to feel and perceive the real world. This efficient somatosensation far outperforms the touch-sensing capability of most of the state-of-the-art robots today and suggests the need for neural-like hardware for electronic skin (e-skin). This could be attained through either innovative schemes for developing distributed electronics or repurposing the neuromorphic circuits developed for other sensory modalities such as vision and audio. This Review highlights the hardware implementations of various computational building blocks for e-skin and the ways they can be integrated to potentially realize human skin-like or peripheral nervous system-like functionalities. The neural-like sensing and data processing are discussed along with various algorithms and hardware architectures. The integration of ultrathin neuromorphic chips for local computation and the printed electronics on soft substrate used for the development of e-skin over large areas are expected to advance robotic interaction as well as open new avenues for research in medical instrumentation, wearables, electronics, and neuroprosthetics.
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Affiliation(s)
- Fengyuan Liu
- Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK
| | - Sweety Deswal
- Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK
| | - Adamos Christou
- Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK
| | | | - Mohsen Kaboli
- Department of Research, New Technologies, Innovation, BMW Group, Parkring 19, 85748 Garching bei Munchen, Germany.,Cognitive Robotics and Tactile Intelligence Group, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Ravinder Dahiya
- Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, G12 8QQ Glasgow, UK
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29
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Aerathupalathu Janardhanan J, Chen YL, Liu CT, Tseng HS, Wu PI, She JW, Hsiao YS, Yu HH. Sensitive Detection of Sweat Cortisol Using an Organic Electrochemical Transistor Featuring Nanostructured Poly(3,4-Ethylenedioxythiophene) Derivatives in the Channel Layer. Anal Chem 2022; 94:7584-7593. [PMID: 35588463 DOI: 10.1021/acs.analchem.2c00497] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
In this study, we examined the influence of functionalized poly(3,4-ethylenedioxythiophene) (PEDOT) nanostructures decorated on the channel layer of an organic electrochemical transistor (OECT) for the detection of sweat cortisol, an adrenocorticosteroid stress hormone. The OECT device featured a bilayer channel confined by a PEDOT:polystyrenesulfonate (PSS) underlayer and a nanostructure-decorated upper layer engineered from the monomers EDOT-COOH and EDOT-EG3 through template-free electrochemical polymerization. This molecular design allowed antibody conjugation using 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide/N-hydroxysulfosuccinimide coupling through the carboxylic acid side chain, with EDOT-EG3 known to minimize nonspecific binding of biomolecules. We also engineered an OECT device having a channel area without any nanostructures to gain insight into the effect of the nanostructures on cortisol sensing. Our new nanostructure-embedded OECT device facilitated real-time detection of cortisol at concentrations ranging from 1 fg/mL to 1 μg/mL with a detection limit of 0.0088 fg/mL with good linearity (R2 = 0.9566), in addition to excellent selectivity toward cortisol among other structurally similar interfering compounds and high stability and reproducibility. With its rapid response for the detection of 100 ng/mL cortisol-spiked artificial sweat, this nanostructure-decorated OECT device has potential clinical practicality and utility in wearable sensors for future healthcare applications.
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Affiliation(s)
- Jayakrishnan Aerathupalathu Janardhanan
- Smart Organic Materials Laboratory, Institute of Chemistry, Academia Sinica, No. 128, Section 2, Research Institute Road, Nankang, Taipei 11529, Taiwan.,Taiwan International Graduate Program (TIGP), Sustainable Chemical Science & Technology (SCST), Academia Sinica, No. 128, Section 2, Research Institute Road, Nankang, Taipei 11529, Taiwan.,Department of Applied Chemistry, National Yang Ming Chiao Tung University (NYCU), Hsinchu 300, Taiwan
| | - Ying-Lin Chen
- Department of Materials Science and Engineering, National Taiwan University of Science and Technology (NTUST), Keelung Road, Da'an District, Taipei 106335, Taiwan
| | - Chun-Ting Liu
- Department of Chemical Engineering, National Taiwan University, Roosevelt Road, Da'an District, Taipei 10617, Taiwan
| | - Hsueh-Sheng Tseng
- Department of Materials Science and Engineering, National Taiwan University of Science and Technology (NTUST), Keelung Road, Da'an District, Taipei 106335, Taiwan
| | - Po-I Wu
- Department of Materials Science and Engineering, National Taiwan University of Science and Technology (NTUST), Keelung Road, Da'an District, Taipei 106335, Taiwan
| | - Jia-Wei She
- Smart Organic Materials Laboratory, Institute of Chemistry, Academia Sinica, No. 128, Section 2, Research Institute Road, Nankang, Taipei 11529, Taiwan.,Taiwan International Graduate Program (TIGP), Nano Science & Technology Program, Academia Sinica, No. 128, Section 2, Research Institute Road, Nankang, Taipei 11529, Taiwan.,Department of Engineering and System Science, National Tsing Hua University (NTHU), Hsinchu 300, Taiwan
| | - Yu-Sheng Hsiao
- Department of Materials Science and Engineering, National Taiwan University of Science and Technology (NTUST), Keelung Road, Da'an District, Taipei 106335, Taiwan
| | - Hsiao-Hua Yu
- Smart Organic Materials Laboratory, Institute of Chemistry, Academia Sinica, No. 128, Section 2, Research Institute Road, Nankang, Taipei 11529, Taiwan.,Taiwan International Graduate Program (TIGP), Sustainable Chemical Science & Technology (SCST), Academia Sinica, No. 128, Section 2, Research Institute Road, Nankang, Taipei 11529, Taiwan
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30
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Shu H, Long H, Sun H, Li B, Zhang H, Wang X. Dynamic Model of the Short-Term Synaptic Behaviors of PEDOT-based Organic Electrochemical Transistors with Modified Shockley Equations. ACS OMEGA 2022; 7:14622-14629. [PMID: 35557652 PMCID: PMC9088794 DOI: 10.1021/acsomega.1c06864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 04/07/2022] [Indexed: 06/15/2023]
Abstract
Neuromorphic computing is an emerging area with prospects to break the energy efficiency bottleneck of artificial intelligence (AI). A crucial challenge for neuromorphic computing is understanding the working principles of artificial synaptic devices. As an emerging class of synaptic devices, organic electrochemical transistors (OECTs) have attracted significant interest due to ultralow voltage operation, analog conductance tuning, mechanical flexibility, and biocompatibility. However, little work has been focused on the first-principal modeling of the synaptic behaviors of OECTs. The simulation of OECT synaptic behaviors is of great importance to understanding the OECT working principles as neuromorphic devices and optimizing ultralow power consumption neuromorphic computing devices. Here, we develop a two-dimensional transient drift-diffusion model based on modified Shockley equations for poly(3,4-ethylenedioxythiophene) (PEDOT)-based OECTs. We reproduced the typical transistor characteristics of these OECTs including the unique non-monotonic transconductance-gate bias curve and frequency dependency of transconductance. Furthermore, typical synaptic phenomena, such as excitatory/inhibitory postsynaptic current (EPSC/IPSC), paired-pulse facilitation/depression (PPF/PPD), and short-term plasticity (STP), are also demonstrated. This work is crucial in guiding the experimental exploration of neuromorphic computing devices and has the potential to serve as a platform for future OECT device simulation based on a wide range of semiconducting materials.
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Affiliation(s)
- Haonian Shu
- Department
of Chemical and Biomolecular Engineering, The Ohio State University, 151 W. Woodruff Ave, Columbus, Ohio 43210, United States
| | - Haowei Long
- School
of Materials Science and Engineering, Zhejiang
University, Hangzhou, Zhejiang 310027, P. R. China
| | - Haibin Sun
- Department
of Chemical and Biomolecular Engineering, The Ohio State University, 151 W. Woodruff Ave, Columbus, Ohio 43210, United States
| | - Baochen Li
- Department
of Chemical and Biomolecular Engineering, The Ohio State University, 151 W. Woodruff Ave, Columbus, Ohio 43210, United States
| | - Haomiao Zhang
- State
Key Laboratory of Chemical Engineering, College of Chemical and Biological
Engineering, Zhejiang University, Hangzhou 310027, P. R. China
| | - Xiaoxue Wang
- Department
of Chemical and Biomolecular Engineering, The Ohio State University, 151 W. Woodruff Ave, Columbus, Ohio 43210, United States
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31
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Overoxidation of Intrinsically Conducting Polymers. Polymers (Basel) 2022; 14:polym14081584. [PMID: 35458334 PMCID: PMC9027932 DOI: 10.3390/polym14081584] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/04/2022] [Accepted: 04/05/2022] [Indexed: 02/04/2023] Open
Abstract
Intrinsically conducting polymers may undergo significant changes of molecular structure and material properties when exposed to highly oxidizing conditions or very positive electrode potentials, commonly called overoxidation. The type and extent of the changes depend on the experimental conditions and chemical environment. They may proceed already at much lower rates at lower electrode potentials because some of the processes associated with overoxidation are closely related to more or less reversible redox processes employed in electrochemical energy conversion and electrochromism. These changes may be welcome for some applications of these polymers in sensors, extraction, and surface functionalization, but in many cases, the change of properties affects the performance of the material negatively, contributing to material and device degradation. This report presents published examples, experimental observations, and their interpretations in terms of both structural and of material property changes. Options to limit and suppress overoxidation are presented, and useful applications are described extensively.
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32
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Bianchi M, De Salvo A, Asplund M, Carli S, Di Lauro M, Schulze‐Bonhage A, Stieglitz T, Fadiga L, Biscarini F. Poly(3,4-ethylenedioxythiophene)-Based Neural Interfaces for Recording and Stimulation: Fundamental Aspects and In Vivo Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104701. [PMID: 35191224 PMCID: PMC9036021 DOI: 10.1002/advs.202104701] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/04/2022] [Indexed: 05/29/2023]
Abstract
Next-generation neural interfaces for bidirectional communication with the central nervous system aim to achieve the intimate integration with the neural tissue with minimal neuroinflammatory response, high spatio-temporal resolution, very high sensitivity, and readout stability. The design and manufacturing of devices for low power/low noise neural recording and safe and energy-efficient stimulation that are, at the same time, conformable to the brain, with matched mechanical properties and biocompatibility, is a convergence area of research where neuroscientists, materials scientists, and nanotechnologists operate synergically. The biotic-abiotic neural interface, however, remains a formidable challenge that prompts for new materials platforms and innovation in device layouts. Conductive polymers (CP) are attractive materials to be interfaced with the neural tissue and to be used as sensing/stimulating electrodes because of their mixed ionic-electronic conductivity, their low contact impedance, high charge storage capacitance, chemical versatility, and biocompatibility. This manuscript reviews the state-of-the-art of poly(3,4-ethylenedioxythiophene)-based neural interfaces for extracellular recording and stimulation, focusing on those technological approaches that are successfully demonstrated in vivo. The aim is to highlight the most reliable and ready-for-clinical-use solutions, in terms of materials technology and recording performance, other than spot major limitations and identify future trends in this field.
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Affiliation(s)
- Michele Bianchi
- Center for Translational Neurophysiology of Speech and CommunicationFondazione Istituto Italiano di Tecnologiavia Fossato di Mortara 17Ferrara44121Italy
| | - Anna De Salvo
- Center for Translational Neurophysiology of Speech and CommunicationFondazione Istituto Italiano di Tecnologiavia Fossato di Mortara 17Ferrara44121Italy
- Sezione di FisiologiaUniversità di Ferraravia Fossato di Mortara 17Ferrara44121Italy
| | - Maria Asplund
- Division of Nursing and Medical TechnologyLuleå University of TechnologyLuleå971 87Sweden
- Department of Microsystems Engineering‐IMTEKUniversity of FreiburgFreiburg79110Germany
- BrainLinks‐BrainTools CenterUniversity of FreiburgFreiburg79110Germany
| | - Stefano Carli
- Center for Translational Neurophysiology of Speech and CommunicationFondazione Istituto Italiano di Tecnologiavia Fossato di Mortara 17Ferrara44121Italy
- Present address:
Department of Environmental and Prevention SciencesUniversità di FerraraFerrara44121Italy
| | - Michele Di Lauro
- Center for Translational Neurophysiology of Speech and CommunicationFondazione Istituto Italiano di Tecnologiavia Fossato di Mortara 17Ferrara44121Italy
| | - Andreas Schulze‐Bonhage
- BrainLinks‐BrainTools CenterUniversity of FreiburgFreiburg79110Germany
- Epilepsy CenterFaculty of MedicineUniversity of FreiburgFreiburg79110Germany
| | - Thomas Stieglitz
- Department of Microsystems Engineering‐IMTEKUniversity of FreiburgFreiburg79110Germany
- BrainLinks‐BrainTools CenterUniversity of FreiburgFreiburg79110Germany
| | - Luciano Fadiga
- Center for Translational Neurophysiology of Speech and CommunicationFondazione Istituto Italiano di Tecnologiavia Fossato di Mortara 17Ferrara44121Italy
- Sezione di FisiologiaUniversità di Ferraravia Fossato di Mortara 17Ferrara44121Italy
| | - Fabio Biscarini
- Center for Translational Neurophysiology of Speech and CommunicationFondazione Istituto Italiano di Tecnologiavia Fossato di Mortara 17Ferrara44121Italy
- Life Science DepartmentUniversità di Modena e Reggio EmiliaVia Campi 103Modena41125Italy
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33
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Kukhta N, Marks A, Luscombe CK. Molecular Design Strategies toward Improvement of Charge Injection and Ionic Conduction in Organic Mixed Ionic-Electronic Conductors for Organic Electrochemical Transistors. Chem Rev 2022; 122:4325-4355. [PMID: 34902244 PMCID: PMC8874907 DOI: 10.1021/acs.chemrev.1c00266] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Indexed: 12/23/2022]
Abstract
Expanding the toolbox of the biology and electronics mutual conjunction is a primary aim of bioelectronics. The organic electrochemical transistor (OECT) has undeniably become a predominant device for mixed conduction materials, offering impressive transconduction properties alongside a relatively simple device architecture. In this review, we focus on the discussion of recent material developments in the area of mixed conductors for bioelectronic applications by means of thorough structure-property investigation and analysis of current challenges. Fundamental operation principles of the OECT are revisited, and characterization methods are highlighted. Current bioelectronic applications of organic mixed ionic-electronic conductors (OMIECs) are underlined. Challenges in the performance and operational stability of OECT channel materials as well as potential strategies for mitigating them, are discussed. This is further expanded to sketch a synopsis of the history of mixed conduction materials for both p- and n-type channel operation, detailing the synthetic challenges and milestones which have been overcome to frequently produce higher performing OECT devices. The cumulative work of multiple research groups is summarized, and synthetic design strategies are extracted to present a series of design principles that can be utilized to drive figure-of-merit performance values even further for future OMIEC materials.
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Affiliation(s)
- Nadzeya
A. Kukhta
- Materials
Science and Engineering Department, University
of Washington, Seattle, Washington 98195, United States
| | - Adam Marks
- Department
of Chemistry, University of Oxford, Oxford OX1 3TA, United Kingdom
| | - Christine K. Luscombe
- Materials
Science and Engineering Department, University
of Washington, Seattle, Washington 98195, United States
- Department
of Chemistry, University of Washington, Seattle, Washington 98195, United States
- Molecular
Engineering & Sciences Institute, University
of Washington, Seattle, Washington 98195, United States
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Felder D, Femmer R, Bell D, Rall D, Pietzonka D, Henzler S, Linkhorst J, Wessling M. Coupled Ionic–Electronic Charge Transport in Organic Neuromorphic Devices. ADVANCED THEORY AND SIMULATIONS 2022. [DOI: 10.1002/adts.202100492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Daniel Felder
- DWI ‐ Leibniz Institute for Interactive Materials Forckenbeckstr. 50 Aachen 52074 Germany
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - Robert Femmer
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - Daniel Bell
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - Deniz Rall
- DWI ‐ Leibniz Institute for Interactive Materials Forckenbeckstr. 50 Aachen 52074 Germany
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - Dirk Pietzonka
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - Sebastian Henzler
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - John Linkhorst
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
| | - Matthias Wessling
- DWI ‐ Leibniz Institute for Interactive Materials Forckenbeckstr. 50 Aachen 52074 Germany
- AVT.CVT ‐ Chair of Chemical Process Engineering RWTH Aachen University Forckenbeckstr. 51 Aachen 52074 Germany
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35
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Organic electrochemical neurons and synapses with ion mediated spiking. Nat Commun 2022; 13:901. [PMID: 35194026 PMCID: PMC8863887 DOI: 10.1038/s41467-022-28483-6] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 01/06/2022] [Indexed: 11/09/2022] Open
Abstract
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and operating principles fundamentally different from the ion signal modulation of biology, traditional Silicon-based neuromorphic implementations have limited bio-integration potential. Here, we report the first organic electrochemical neurons (OECNs) with ion-modulated spiking, based on all-printed complementary organic electrochemical transistors. We demonstrate facile bio-integration of OECNs with Venus Flytrap (Dionaea muscipula) to induce lobe closure upon input stimuli. The OECNs can also be integrated with all-printed organic electrochemical synapses (OECSs), exhibiting short-term plasticity with paired-pulse facilitation and long-term plasticity with retention >1000 s, facilitating Hebbian learning. These soft and flexible OECNs operate below 0.6 V and respond to multiple stimuli, defining a new vista for localized artificial neuronal systems possible to integrate with bio-signaling systems of plants, invertebrates, and vertebrates.
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He Y, Kukhta NA, Marks A, Luscombe CK. The effect of side chain engineering on conjugated polymers in organic electrochemical transistors for bioelectronic applications. JOURNAL OF MATERIALS CHEMISTRY. C 2022; 10:2314-2332. [PMID: 35310858 PMCID: PMC8852261 DOI: 10.1039/d1tc05229b] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 12/07/2021] [Indexed: 05/08/2023]
Abstract
Bioelectronics focuses on the establishment of the connection between the ion-driven biosystems and readable electronic signals. Organic electrochemical transistors (OECTs) offer a viable solution for this task. Organic mixed ionic/electronic conductors (OMIECs) rest at the heart of OECTs. The balance between the ionic and electronic conductivities of OMIECs is closely connected to the OECT device performance. While modification of the OMIECs' electronic properties is largely related to the development of conjugated scaffolds, properties such as ion permeability, solubility, flexibility, morphology, and sensitivity can be altered by side chain moieties. In this review, we uncover the influence of side chain molecular design on the properties and performance of OECTs. We summarise current understanding of OECT performance and focus specifically on the knowledge of ionic-electronic coupling, shedding light on the significance of side chain development of OMIECs. We show how the versatile synthetic toolbox of side chains can be successfully employed to tune OECT parameters via controlling the material properties. As the field continues to mature, more detailed investigations into the crucial role side chain engineering plays on the resultant OMIEC properties will allow for side chain alternatives to be developed and will ultimately lead to further enhancements within the field of OECT channel materials.
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Affiliation(s)
- Yifei He
- Materials Science and Engineering Department, University of Washington Seattle Washington 98195-2120 USA
| | - Nadzeya A Kukhta
- Materials Science and Engineering Department, University of Washington Seattle Washington 98195-2120 USA
| | - Adam Marks
- Department of Chemistry, University of Oxford Oxford OX1 3TA UK
| | - Christine K Luscombe
- Materials Science and Engineering Department, University of Washington Seattle Washington 98195-2120 USA
- Department of Chemistry, University of Washington, Seattle Washington 98195 USA
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Kim HJ, Perera K, Liang Z, Bowen B, Mei J, Boudouris BW. Radical Polymer-Based Organic Electrochemical Transistors. ACS Macro Lett 2022; 11:243-250. [PMID: 35574776 DOI: 10.1021/acsmacrolett.1c00695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Organic electrochemical transistors (OECTs) are an emerging platform for bioelectronic applications. Significant effort has been placed in designing advanced polymers that simultaneously transport both charge and ions (i.e., macromolecules that are mixed conductors). However, the considerations for mixed organic conductors are often different from the established principles that are well-known in the solid-state organic electronics field; thus, the discovery of new OECT macromolecular systems is highly desired. Here, we demonstrate a new materials system by blending a radical polymer (i.e., a macromolecule with a nonconjugated backbone and with stable open-shell sites at its pendant group) with a frequently used conjugated polymer. Specifically, poly(4-glycidyloxy-2,2,6,6-tetramethylpiperidine-1-oxyl) (PTEO) was blended with poly(3-hexylthiophene) (P3HT) to create thin films with distinct closed-shell and open-shell domains. Importantly, the sharp and unique oxidation-reduction (redox) potential associated with the radical moieties of the PTEO chain provided a distinct actuation feature to the blended films that modulated the ionic transport of the OECT devices. In turn, this led to controlled regulation of the doping of the P3HT phase in the composite film. By decoupling the ionic and electronic transport into two distinct phases and by using an ion transport phase with well-controlled redox activity, never-before-seen performance for a P3HT-based OECT was observed. That is, at loadings as low as 5% PTEO (by weight) OECTs achieved figure-of-merit (i.e., μC*) values >150 F V-1 cm-1 s-1, which place the performance on the same order as state-of-the-art conjugated polymers despite the relatively common conjugated macromolecular moiety implemented. As such, this effort presents a design platform by which to readily create a tailored OECT response through strategic macromolecular selection and polymer processing.
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Affiliation(s)
- Ho Joong Kim
- Charles D. Davidson School of Chemical Engineering, Purdue University, 480 Stadium Avenue, West Lafayette, Indiana 47907, United States
| | - Kuluni Perera
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
| | - Zihao Liang
- Charles D. Davidson School of Chemical Engineering, Purdue University, 480 Stadium Avenue, West Lafayette, Indiana 47907, United States
| | - Brennen Bowen
- Charles D. Davidson School of Chemical Engineering, Purdue University, 480 Stadium Avenue, West Lafayette, Indiana 47907, United States
| | - Jianguo Mei
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
| | - Bryan W. Boudouris
- Charles D. Davidson School of Chemical Engineering, Purdue University, 480 Stadium Avenue, West Lafayette, Indiana 47907, United States
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
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Gladisch J, Oikonomou VK, Moser M, Griggs S, McCulloch I, Berggren M, Stavrinidou E. An Electroactive Filter with Tunable Porosity Based on Glycolated Polythiophene. SMALL SCIENCE 2022. [DOI: 10.1002/smsc.202100113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Johannes Gladisch
- Laboratory of Organic Electronics Department of Science and Technology Linköping University SE-60174 Norrköping Sweden
- Wallenberg Wood Science Center Linköping University SE‐60174 Norrköping Sweden
| | - Vasileios K. Oikonomou
- Laboratory of Organic Electronics Department of Science and Technology Linköping University SE-60174 Norrköping Sweden
- Wallenberg Wood Science Center Linköping University SE‐60174 Norrköping Sweden
| | | | - Sophie Griggs
- Department of Chemistry University of Oxford Oxford OX1 3TA UK
| | - Iain McCulloch
- Department of Chemistry University of Oxford Oxford OX1 3TA UK
- KAUST Solar Center King Abdullah University of Science and Technology (KAUST) Thuwal 23955–6900 Saudi Arabia
| | - Magnus Berggren
- Laboratory of Organic Electronics Department of Science and Technology Linköping University SE-60174 Norrköping Sweden
- Wallenberg Wood Science Center Linköping University SE‐60174 Norrköping Sweden
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics Department of Science and Technology Linköping University SE-60174 Norrköping Sweden
- Wallenberg Wood Science Center Linköping University SE‐60174 Norrköping Sweden
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39
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Wu HY, Yang CY, Li Q, Kolhe NB, Strakosas X, Stoeckel MA, Wu Z, Jin W, Savvakis M, Kroon R, Tu D, Woo HY, Berggren M, Jenekhe SA, Fabiano S. Influence of Molecular Weight on the Organic Electrochemical Transistor Performance of Ladder-Type Conjugated Polymers. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2106235. [PMID: 34658088 DOI: 10.1002/adma.202106235] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/21/2021] [Indexed: 06/13/2023]
Abstract
Organic electrochemical transistors (OECTs) hold promise for developing a variety of high-performance (bio-)electronic devices/circuits. While OECTs based on p-type semiconductors have achieved tremendous progress in recent years, n-type OECTs still suffer from low performance, hampering the development of power-efficient electronics. Here, it is demonstrated that fine-tuning the molecular weight of the rigid, ladder-type n-type polymer poly(benzimidazobenzophenanthroline) (BBL) by only one order of magnitude (from 4.9 to 51 kDa) enables the development of n-type OECTs with record-high geometry-normalized transconductance (gm,norm ≈ 11 S cm-1 ) and electron mobility × volumetric capacitance (µC* ≈ 26 F cm-1 V-1 s-1 ), fast temporal response (0.38 ms), and low threshold voltage (0.15 V). This enhancement in OECT performance is ascribed to a more efficient intermolecular charge transport in high-molecular-weight BBL than in the low-molecular-weight counterpart. OECT-based complementary inverters are also demonstrated with record-high voltage gains of up to 100 V V-1 and ultralow power consumption down to 0.32 nW, depending on the supply voltage. These devices are among the best sub-1 V complementary inverters reported to date. These findings demonstrate the importance of molecular weight in optimizing the OECT performance of rigid organic mixed ionic-electronic conductors and open for a new generation of power-efficient organic (bio-)electronic devices.
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Affiliation(s)
- Han-Yan Wu
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Chi-Yuan Yang
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Qifan Li
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Nagesh B Kolhe
- Department of Chemical Engineering and Department of Chemistry, University of Washington, Seattle, Washington, DC, 98195, USA
| | - Xenofon Strakosas
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Marc-Antoine Stoeckel
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Ziang Wu
- Department of Chemistry, College of Science, Korea University, Seoul, 136-713, Republic of Korea
| | - Wenlong Jin
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Marios Savvakis
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Renee Kroon
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Deyu Tu
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
| | - Han Young Woo
- Department of Chemistry, College of Science, Korea University, Seoul, 136-713, Republic of Korea
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
- n-Ink AB, Teknikringen 7, Linköping, SE-58330, Sweden
| | - Samson A Jenekhe
- Department of Chemical Engineering and Department of Chemistry, University of Washington, Seattle, Washington, DC, 98195, USA
| | - Simone Fabiano
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
- Wallenberg Wood Science Center, Department of Science and Technology, Linköping University, Norrköping, SE-60174, Sweden
- n-Ink AB, Teknikringen 7, Linköping, SE-58330, Sweden
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Janzakova K, Ghazal M, Kumar A, Coffinier Y, Pecqueur S, Alibart F. Dendritic Organic Electrochemical Transistors Grown by Electropolymerization for 3D Neuromorphic Engineering. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2102973. [PMID: 34716682 PMCID: PMC8693061 DOI: 10.1002/advs.202102973] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/13/2021] [Indexed: 05/16/2023]
Abstract
One of the major limitations of standard top-down technologies used in today's neuromorphic engineering is their inability to map the 3D nature of biological brains. Here, it is shown how bipolar electropolymerization can be used to engineer 3D networks of PEDOT:PSS dendritic fibers. By controlling the growth conditions of the electropolymerized material, it is investigated how dendritic fibers can reproduce structural plasticity by creating structures of controllable shape. Gradual topologies evolution is demonstrated in a multielectrode configuration. A detailed electrical characterization of the PEDOT:PSS dendrites is conducted through DC and impedance spectroscopy measurements and it is shown how organic electrochemical transistors (OECT) can be realized with these structures. These measurements reveal that quasi-static and transient response of OECTs can be adjusted by controlling dendrites' morphologies. The unique properties of organic dendrites are used to demonstrate short-term, long-term, and structural plasticity, which are essential features required for future neuromorphic hardware development.
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Affiliation(s)
- Kamila Janzakova
- Institut d’ÉlectroniqueMicroélectronique et Nanotechnologies (IEMN) ‐ CNRS UMR 8520 ‐ Université de Lilleboulevard PoincarréVilleneuve d'Ascq59652France
| | - Mahdi Ghazal
- Institut d’ÉlectroniqueMicroélectronique et Nanotechnologies (IEMN) ‐ CNRS UMR 8520 ‐ Université de Lilleboulevard PoincarréVilleneuve d'Ascq59652France
| | - Ankush Kumar
- Institut d’ÉlectroniqueMicroélectronique et Nanotechnologies (IEMN) ‐ CNRS UMR 8520 ‐ Université de Lilleboulevard PoincarréVilleneuve d'Ascq59652France
| | - Yannick Coffinier
- Institut d’ÉlectroniqueMicroélectronique et Nanotechnologies (IEMN) ‐ CNRS UMR 8520 ‐ Université de Lilleboulevard PoincarréVilleneuve d'Ascq59652France
| | - Sébastien Pecqueur
- Institut d’ÉlectroniqueMicroélectronique et Nanotechnologies (IEMN) ‐ CNRS UMR 8520 ‐ Université de Lilleboulevard PoincarréVilleneuve d'Ascq59652France
| | - Fabien Alibart
- Institut d’ÉlectroniqueMicroélectronique et Nanotechnologies (IEMN) ‐ CNRS UMR 8520 ‐ Université de Lilleboulevard PoincarréVilleneuve d'Ascq59652France
- Laboratoire Nanotechnologies Nanosystèmes (LN2) ‐ CNRS UMI‐3463 ‐ 3ITSherbrookeJ1K 0A5Canada
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41
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Janzakova K, Kumar A, Ghazal M, Susloparova A, Coffinier Y, Alibart F, Pecqueur S. Analog programing of conducting-polymer dendritic interconnections and control of their morphology. Nat Commun 2021; 12:6898. [PMID: 34824266 PMCID: PMC8617192 DOI: 10.1038/s41467-021-27274-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 11/05/2021] [Indexed: 12/16/2022] Open
Abstract
Although materials and processes are different from biological cells', brain mimicries led to tremendous achievements in parallel information processing via neuromorphic engineering. Inexistent in electronics, we emulate dendritic morphogenesis by electropolymerization in water, aiming in operando material modification for hardware learning. Systematic study of applied voltage-pulse parameters details on tuning independently morphological aspects of micrometric dendrites': fractal number, branching degree, asymmetry, density or length. Growths time-lapse image processing shows spatial features to be dynamically dependent, and expand distinctively before and after conductive bridging with two electro-generated dendrites. Circuit-element analysis and impedance spectroscopy confirms their morphological control in temporal windows where growth kinetics is finely perturbed by the input frequency and duty cycle. By the emulation of one's most preponderant mechanisms for brain's long-term memory, its implementation in vicinity of sensing arrays, neural probes or biochips shall greatly optimize computational costs and recognition required to classify high-dimensional patterns from complex environments.
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Affiliation(s)
- Kamila Janzakova
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France
| | - Ankush Kumar
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France
| | - Mahdi Ghazal
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France
| | - Anna Susloparova
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France
| | - Yannick Coffinier
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France
| | - Fabien Alibart
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France
- Laboratoire Nanotechnologies & Nanosystèmes (LN2), CNRS, Université de Sherbrooke, Sherbrooke, QC, J1X0A5, Canada
| | - Sébastien Pecqueur
- Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520-IEMN, 59000, Lille, France.
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42
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Oh S, Cho JI, Lee BH, Seo S, Lee JH, Choo H, Heo K, Lee SY, Park JH. Flexible artificial Si-In-Zn-O/ion gel synapse and its application to sensory-neuromorphic system for sign language translation. SCIENCE ADVANCES 2021; 7:eabg9450. [PMID: 34714683 PMCID: PMC8555902 DOI: 10.1126/sciadv.abg9450] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
We propose a flexible artificial synapse based on a silicon-indium-zinc-oxide (SIZO)/ion gel hybrid structure directly fabricated on a polyimide substrate, where the channel conductance is effectively modulated via ion movement in the ion gel. This synaptic operation is possible because of the low-temperature deposition process of the SIZO layer (<150°C) and the surface roughness improvement of the poly(4-vinylphenol) buffer layer (12.29→1.81 nm). The flexible synaptic device exhibits extremely stable synaptic performance under high mechanical (bending 1500 times with a radius of 5 mm) and electrical stress (application of voltage pulses 104 times) without any degradation. Last, a sensory-neuromorphic system for sign language translation, which consists of stretchable resistive sensors and flexible artificial synapses, is designed and successfully evaluated via training and recognition simulation using hand sign patterns obtained by stretchable sensors (maximum recognition rate, 99.4%).
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Affiliation(s)
- Seyong Oh
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
| | - Jeong-Ick Cho
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
| | - Byeong Hyeon Lee
- Department of Microdevice Engineering, Korea University, Seoul 02841, Korea
| | - Seunghwan Seo
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
| | - Ju-Hee Lee
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
| | - Hyongsuk Choo
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
| | - Keun Heo
- Department of Semiconductor Science and Technology, Chonbuk National University, Jeonju 54896, Korea
| | - Sang Yeol Lee
- Department of Electronic Engineering, Gachon University, Seongnam 13306, Korea
- Corresponding author. (S.Y.L.); (J.-H.P.)
| | - Jin-Hong Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
- SKKU Advanced Institute of Nano Technology (SAINT), Sungkyunkwan University, Suwon 16419, Korea
- Corresponding author. (S.Y.L.); (J.-H.P.)
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Rashid RB, Ji X, Rivnay J. Organic electrochemical transistors in bioelectronic circuits. Biosens Bioelectron 2021; 190:113461. [PMID: 34197997 DOI: 10.1016/j.bios.2021.113461] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/15/2021] [Accepted: 06/21/2021] [Indexed: 11/30/2022]
Abstract
The organic electrochemical transistor (OECT) represents a versatile and impactful electronic building block in the areas of printed electronics, bioelectronics, and neuromorphic computing. Significant efforts in OECTs have focused on device physics, new active material design and synthesis, and on preliminary implementation of individual transistors as proof-of-concept components for sensing and computation. However, as most of the current studies are based on single devices, the integration of OECTs into circuits or high-level systems has lagged. In this review, we focus on recent efforts to incorporate individual OECTs into digital, analog, and neuromorphic circuits, and lay out important considerations relevant for (hybrid) systems integration. We summarize the operation principles and the functions of OECT-based circuits and discuss the approaches for wireless power and data transmission for practicality in biological and bio-inspired applications. Finally, we comment on the future directions and challenges facing OECT circuits from both a fundamental and applied perspective.
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Affiliation(s)
- Reem B Rashid
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Simpson Querrey Institute, Northwestern University, Chicago, IL, 60611, USA
| | - Xudong Ji
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Simpson Querrey Institute, Northwestern University, Chicago, IL, 60611, USA
| | - Jonathan Rivnay
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Simpson Querrey Institute, Northwestern University, Chicago, IL, 60611, USA.
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44
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Torricelli F, Adrahtas DZ, Bao Z, Berggren M, Biscarini F, Bonfiglio A, Bortolotti CA, Frisbie CD, Macchia E, Malliaras GG, McCulloch I, Moser M, Nguyen TQ, Owens RM, Salleo A, Spanu A, Torsi L. Electrolyte-gated transistors for enhanced performance bioelectronics. NATURE REVIEWS. METHODS PRIMERS 2021; 1:66. [PMID: 35475166 PMCID: PMC9037952 DOI: 10.1038/s43586-021-00065-8] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/31/2021] [Indexed: 12/31/2022]
Abstract
Electrolyte-gated transistors (EGTs), capable of transducing biological and biochemical inputs into amplified electronic signals and stably operating in aqueous environments, have emerged as fundamental building blocks in bioelectronics. In this Primer, the different EGT architectures are described with the fundamental mechanisms underpinning their functional operation, providing insight into key experiments including necessary data analysis and validation. Several organic and inorganic materials used in the EGT structures and the different fabrication approaches for an optimal experimental design are presented and compared. The functional bio-layers and/or biosystems integrated into or interfaced to EGTs, including self-organization and self-assembly strategies, are reviewed. Relevant and promising applications are discussed, including two-dimensional and three-dimensional cell monitoring, ultra-sensitive biosensors, electrophysiology, synaptic and neuromorphic bio-interfaces, prosthetics and robotics. Advantages, limitations and possible optimizations are also surveyed. Finally, current issues and future directions for further developments and applications are discussed.
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Affiliation(s)
- Fabrizio Torricelli
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - Demetra Z. Adrahtas
- Department of Chemical Engineering & Materials Science, University of Minnesota, Minneapolis, MN, USA
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, Sweden
| | - Fabio Biscarini
- Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
- Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, Italy
| | - Annalisa Bonfiglio
- Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
| | - Carlo A. Bortolotti
- Dipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Modena, Italy
| | - C. Daniel Frisbie
- Department of Chemical Engineering & Materials Science, University of Minnesota, Minneapolis, MN, USA
| | - Eleonora Macchia
- Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland
| | - George G. Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, UK
| | - Iain McCulloch
- Physical Sciences and Engineering Division, KAUST Solar Center (KSC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK
| | - Maximilian Moser
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, UK
| | - Thuc-Quyen Nguyen
- Department of Chemistry & Biochemistry, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Róisín M. Owens
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Alberto Salleo
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
| | - Andrea Spanu
- Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
| | - Luisa Torsi
- Department of Chemistry, University of Bari ‘Aldo Moro’, Bari, Italy
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45
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Ding B, Kim G, Kim Y, Eisner FD, Gutiérrez‐Fernández E, Martín J, Yoon M, Heeney M. Influence of Backbone Curvature on the Organic Electrochemical Transistor Performance of Glycolated Donor-Acceptor Conjugated Polymers. Angew Chem Int Ed Engl 2021; 60:19679-19684. [PMID: 34228896 PMCID: PMC8457089 DOI: 10.1002/anie.202106084] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/20/2021] [Indexed: 01/11/2023]
Abstract
Two new glycolated semiconducting polymers PgBT(F)2gT and PgBT(F)2gTT of differing backbone curvatures were designed and synthesised for application as p-type accumulation mode organic electrochemical transistor (OECT) materials. Both polymers demonstrated stable and reversible oxidation, accessible within the aqueous electrochemical window, to generate polaronic charge carriers. OECTs fabricated from PgBT(F)2gT featuring a curved backbone geometry attained a higher volumetric capacitance of 170 F cm-3 . However, PgBT(F)2gTT with a linear backbone displayed overall superior OECT performance with a normalised peak transconductance of 3.00×104 mS cm-1 , owing to its enhanced order, expediting the charge mobility to 0.931 cm2 V-1 s-1 .
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Affiliation(s)
- Bowen Ding
- Department of Chemistry and Centre for Processable ElectronicsImperial College LondonMolecular Sciences Research Hub (White City Campus)80 Wood Lane Shepherd's BushLondonW12 0BZUK
| | - Gunwoo Kim
- School of Materials Science and EngineeringGwangju Institute of Science and Technology123 Cheomdangwagi-ro, Buk-guGwangju61005Republic of Korea
| | - Youngseok Kim
- School of Materials Science and EngineeringGwangju Institute of Science and Technology123 Cheomdangwagi-ro, Buk-guGwangju61005Republic of Korea
| | - Flurin D. Eisner
- Department of Physics and Centre for Processable ElectronicsImperial College LondonSouth Kensington CampusLondonSW7 2AZUK
| | - Edgar Gutiérrez‐Fernández
- POLYMAT and Polymer Science and Technology DepartmentFaculty of ChemistryUniversity of the Basque Country UPV/EHUManuel de Lardizabal 3Donostia—San SebastiánSpain
| | - Jaime Martín
- POLYMAT and Polymer Science and Technology DepartmentFaculty of ChemistryUniversity of the Basque Country UPV/EHUManuel de Lardizabal 3Donostia—San SebastiánSpain
- Grupo de PolímerosDepartamento de Física e Ciencias da TerraUniversidade da CoruñaCentro de Investigacións Tecnolóxicas (CIT)Esteiro15471FerrolSpain
| | - Myung‐Han Yoon
- School of Materials Science and EngineeringGwangju Institute of Science and Technology123 Cheomdangwagi-ro, Buk-guGwangju61005Republic of Korea
| | - Martin Heeney
- Department of Chemistry and Centre for Processable ElectronicsImperial College LondonMolecular Sciences Research Hub (White City Campus)80 Wood Lane Shepherd's BushLondonW12 0BZUK
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46
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Yang Y, Wei X, Zhang N, Zheng J, Chen X, Wen Q, Luo X, Lee CY, Liu X, Zhang X, Chen J, Tao C, Zhang W, Fan X. A non-printed integrated-circuit textile for wireless theranostics. Nat Commun 2021; 12:4876. [PMID: 34385436 PMCID: PMC8361012 DOI: 10.1038/s41467-021-25075-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/22/2021] [Indexed: 01/13/2023] Open
Abstract
While the printed circuit board (PCB) has been widely considered as the building block of integrated electronics, the world is switching to pursue new ways of merging integrated electronic circuits with textiles to create flexible and wearable devices. Herein, as an alternative for PCB, we described a non-printed integrated-circuit textile (NIT) for biomedical and theranostic application via a weaving method. All the devices are built as fibers or interlaced nodes and woven into a deformable textile integrated circuit. Built on an electrochemical gating principle, the fiber-woven-type transistors exhibit superior bending or stretching robustness, and were woven as a textile logical computing module to distinguish different emergencies. A fiber-type sweat sensor was woven with strain and light sensors fibers for simultaneously monitoring body health and the environment. With a photo-rechargeable energy textile based on a detailed power consumption analysis, the woven circuit textile is completely self-powered and capable of both wireless biomedical monitoring and early warning. The NIT could be used as a 24/7 private AI "nurse" for routine healthcare, diabetes monitoring, or emergencies such as hypoglycemia, metabolic alkalosis, and even COVID-19 patient care, a potential future on-body AI hardware and possibly a forerunner to fabric-like computers.
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Affiliation(s)
- Yuxin Yang
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
- Industrial Technology Research Institute of Chongqing University, Chongqing, China
| | - Xiaofei Wei
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China
| | - Nannan Zhang
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China.
| | - Juanjuan Zheng
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Xing Chen
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Qian Wen
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China
- Industrial Technology Research Institute of Chongqing University, Chongqing, China
| | - Xinxin Luo
- Industrial Technology Research Institute of Chongqing University, Chongqing, China
| | - Chong-Yew Lee
- School of Pharmaceutical Sciences, University Sains Malaysia, Penang, Malaysia
| | - Xiaohong Liu
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
| | - Xingcai Zhang
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
- School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Changyuan Tao
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China
| | - Wei Zhang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China.
| | - Xing Fan
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China.
- Industrial Technology Research Institute of Chongqing University, Chongqing, China.
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47
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Ding B, Kim G, Kim Y, Eisner FD, Gutiérrez‐Fernández E, Martín J, Yoon M, Heeney M. Influence of Backbone Curvature on the Organic Electrochemical Transistor Performance of Glycolated Donor–Acceptor Conjugated Polymers. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202106084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Bowen Ding
- Department of Chemistry and Centre for Processable Electronics Imperial College London Molecular Sciences Research Hub (White City Campus) 80 Wood Lane Shepherd's Bush London W12 0BZ UK
| | - Gunwoo Kim
- School of Materials Science and Engineering Gwangju Institute of Science and Technology 123 Cheomdangwagi-ro, Buk-gu Gwangju 61005 Republic of Korea
| | - Youngseok Kim
- School of Materials Science and Engineering Gwangju Institute of Science and Technology 123 Cheomdangwagi-ro, Buk-gu Gwangju 61005 Republic of Korea
| | - Flurin D. Eisner
- Department of Physics and Centre for Processable Electronics Imperial College London South Kensington Campus London SW7 2AZ UK
| | - Edgar Gutiérrez‐Fernández
- POLYMAT and Polymer Science and Technology Department Faculty of Chemistry University of the Basque Country UPV/EHU Manuel de Lardizabal 3 Donostia—San Sebastián Spain
| | - Jaime Martín
- POLYMAT and Polymer Science and Technology Department Faculty of Chemistry University of the Basque Country UPV/EHU Manuel de Lardizabal 3 Donostia—San Sebastián Spain
- Grupo de Polímeros Departamento de Física e Ciencias da Terra Universidade da Coruña Centro de Investigacións Tecnolóxicas (CIT) Esteiro 15471 Ferrol Spain
| | - Myung‐Han Yoon
- School of Materials Science and Engineering Gwangju Institute of Science and Technology 123 Cheomdangwagi-ro, Buk-gu Gwangju 61005 Republic of Korea
| | - Martin Heeney
- Department of Chemistry and Centre for Processable Electronics Imperial College London Molecular Sciences Research Hub (White City Campus) 80 Wood Lane Shepherd's Bush London W12 0BZ UK
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48
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Lee S, Cho YW, Lee J, Jung Y, Oh S, Sun J, Kim S, Joo Y. Nanofiber Channel Organic Electrochemical Transistors for Low-Power Neuromorphic Computing and Wide-Bandwidth Sensing Platforms. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2001544. [PMID: 34026425 PMCID: PMC8132164 DOI: 10.1002/advs.202001544] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/26/2020] [Indexed: 05/29/2023]
Abstract
Organic neuromorphic computing/sensing platforms are a promising concept for local monitoring and processing of biological signals in real time. Neuromorphic devices and sensors with low conductance for low power consumption and high conductance for low-impedance sensing are desired. However, it has been a struggle to find materials and fabrication methods that satisfy both of these properties simultaneously in a single substrate. Here, nanofiber channels with a self-formed ion-blocking layer are fabricated to create organic electrochemical transistors (OECTs) that can be tailored to achieve low-power neuromorphic computing and fast-response sensing by transferring different amounts of electrospun nanofibers to each device. With their nanofiber architecture, the OECTs exhibit a low switching energy of 113 fJ and operate within a wide bandwidth (cut-off frequency of 13.5 kHz), opening a new paradigm for energy-efficient neuromorphic computing/sensing platforms in a biological environment without the leakage of personal information.
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Affiliation(s)
- Sol‐Kyu Lee
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - Young Woon Cho
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - Jong‐Sung Lee
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - Young‐Ran Jung
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - Seung‐Hyun Oh
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - Jeong‐Yun Sun
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - SangBum Kim
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
| | - Young‐Chang Joo
- Department of Materials Science & EngineeringSeoul National UniversitySeoul151‐744Korea
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49
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Mimicking associative learning using an ion-trapping non-volatile synaptic organic electrochemical transistor. Nat Commun 2021; 12:2480. [PMID: 33931638 PMCID: PMC8087835 DOI: 10.1038/s41467-021-22680-5] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 03/16/2021] [Indexed: 02/02/2023] Open
Abstract
Associative learning, a critical learning principle to improve an individual's adaptability, has been emulated by few organic electrochemical devices. However, complicated bias schemes, high write voltages, as well as process irreversibility hinder the further development of associative learning circuits. Here, by adopting a poly(3,4-ethylenedioxythiophene):tosylate/Polytetrahydrofuran composite as the active channel, we present a non-volatile organic electrochemical transistor that shows a write bias less than 0.8 V and retention time longer than 200 min without decoupling the write and read operations. By incorporating a pressure sensor and a photoresistor, a neuromorphic circuit is demonstrated with the ability to associate two physical inputs (light and pressure) instead of normally demonstrated electrical inputs in other associative learning circuits. To unravel the non-volatility of this material, ultraviolet-visible-near-infrared spectroscopy, X-ray photoelectron spectroscopy and grazing-incidence wide-angle X-ray scattering are used to characterize the oxidation level variation, compositional change, and the structural modulation of the poly(3,4-ethylenedioxythiophene):tosylate/Polytetrahydrofuran films in various conductance states. The implementation of the associative learning circuit as well as the understanding of the non-volatile material represent critical advances for organic electrochemical devices in neuromorphic applications.
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50
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Huang L, Wang Z, Chen J, Wang B, Chen Y, Huang W, Chi L, Marks TJ, Facchetti A. Porous Semiconducting Polymers Enable High-Performance Electrochemical Transistors. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2007041. [PMID: 33655643 DOI: 10.1002/adma.202007041] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/04/2021] [Indexed: 06/12/2023]
Abstract
Organic polymer electrochemical transistors (OECTs) are of great interest for flexible electronics and bioelectronics applications owing to their high transconductance and low operating voltage. However, efficient OECT operation must delicately balance the seemingly incompatible materials optimizations of redox chemistry, active layer electronic transport, and ion penetration/transport. The latter characteristics are particularly challenging since most high-mobility semiconducting polymers are hydrophobic, which hinders efficient ion penetration, hence limiting OECT performance. Here, the properties and OECT response of a series of dense and porous semiconducting polymer films are compared, the latter fabricated via a facile breath figure approach. This methodology enables fast ion doping, high transconductance (up to 364 S cm-1 ), and a low subthreshold swing for the hydrophobic polymers DPPDTT and P3HT, rivalling or exceeding the metrics of the relatively hydrophilic polymer, Pg2T-T. Furthermore, the porous morphology also enhances the transconductance of hydrophilic polymers, offering a general strategy for fabricating high-performance electrochemical transistors.
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Affiliation(s)
- Lizhen Huang
- Institute of Functional Nano & Soft Materials, Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, 215123, P. R. China
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Zhi Wang
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- Research Center for Engineering Technology of Polymeric Composites of Shanxi Province, School of Materials Science and Engineering, North University of China, Taiyuan, 030051, P. R. China
| | - Jianhua Chen
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Binghao Wang
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Yao Chen
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Wei Huang
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Lifeng Chi
- Institute of Functional Nano & Soft Materials, Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, 215123, P. R. China
| | - Tobin J Marks
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA
- Flexterra Inc., 8025 Lamon Avenue, Skokie, IL, 60077, USA
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