1
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Portillo S, Manzanares JA, Ramirez P, Bisquert J, Mafe S, Cervera J. pH-Dependent Effects in Nanofluidic Memristors. J Phys Chem Lett 2024; 15:7793-7798. [PMID: 39049562 PMCID: PMC11299186 DOI: 10.1021/acs.jpclett.4c01610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/04/2024] [Accepted: 07/22/2024] [Indexed: 07/27/2024]
Abstract
Multipore membranes with nanofluidic diodes show memristive and current rectifying effects that can be controlled by the nanostructure asymmetry and ionic solution characteristics in addition to the frequency and amplitude of the electrical driving signal. Here, we show that the electrical conduction phenomena, which are modulated by the interaction between the pore surface charges and the solution mobile ions, allow for a pH-dependent neuromorphic-like potentiation of the membrane conductance by voltage pulses. Also, we demonstrate that arrangements of memristors can be employed in the design of electrochemical circuits for implementing logic functions and information processing in iontronics.
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Affiliation(s)
- Sergio Portillo
- Departament
de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
| | - José A. Manzanares
- Departament
de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
| | - Patricio Ramirez
- Departament
de Física Aplicada, Universitat Politécnica
de València, E-46022 València, Spain
| | - Juan Bisquert
- Instituto
de Tecnología Química, (Universitat
Politècnica de València-Agencia Estatal Consejo Superior
de Investigaciones Científicas), Av. dels Tarongers, 46022 València, Spain
| | - Salvador Mafe
- Departament
de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
| | - Javier Cervera
- Departament
de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
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2
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Xu J, Luo Z, Chen L, Zhou X, Zhang H, Zheng Y, Wei L. Recent advances in flexible memristors for advanced computing and sensing. MATERIALS HORIZONS 2024. [PMID: 38919028 DOI: 10.1039/d4mh00291a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Conventional computing systems based on von Neumann architecture face challenges such as high power consumption and limited data processing capability. Improving device performance via scaling guided by Moore's Law becomes increasingly difficult. Emerging memristors can provide a promising solution for achieving high-performance computing systems with low power consumption. In particular, the development of flexible memristors is an important topic for wearable electronics, which can lead to intelligent systems in daily life with high computing capacity and efficiency. Here, recent advances in flexible memristors are reviewed, from operating mechanisms and typical materials to representative applications. Potential directions and challenges for future study in this area are also discussed.
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Affiliation(s)
- Jiaming Xu
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
| | - Ziwang Luo
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
| | - Long Chen
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
| | - Xuhui Zhou
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
| | - Haozhe Zhang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
| | - Yuanjin Zheng
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
| | - Lei Wei
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.
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3
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Nikolaidou A, Mougkogiannis P, Adamatzky A. Electroactive composite biofilms integrating Kombucha, Chlorella and synthetic proteinoid Proto-Brains. ROYAL SOCIETY OPEN SCIENCE 2024; 11:240238. [PMID: 39076784 PMCID: PMC11285679 DOI: 10.1098/rsos.240238] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
In this study, we present electroactive biofilms made from a combination of Kombucha zoogleal mats and thermal proteinoids. These biofilms have potential applications in unconventional computing and robotic skin. Proteinoids are synthesized by thermally polymerizing amino acids, resulting in the formation of synthetic protocells that display electrical signalling similar to neurons. By incorporating proteinoids into Kombucha zoogleal cellulose mats, hydrogel biofilms can be created that have the ability to efficiently transfer charges, perform sensory transduction and undergo processing. We conducted a study on the memfractance and memristance behaviours of composite biofilms, showcasing their capacity to carry out unconventional computing operations. The porous nanostructure and electroactivity of the biofilm create a biocompatible interface that can be used to record and stimulate neuronal networks. In addition to in vitro neuronal interfaces, these soft electroactive biofilms show potential as components for bioinspired robotics, smart wearables, unconventional computing devices and adaptive biorobotic systems. Kombucha-proteinoids composite films are a highly customizable material that can be synthesized to suit specific needs. These films belong to a unique category of 'living' materials, as they have the ability to support cellular systems and improve bioelectronic functionality. This makes them an exciting prospect in various applications. Ongoing efforts are currently being directed towards enhancing the compositional tuning of conductivity, signal processing and integration within hybrid bioelectronic circuits.
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Affiliation(s)
- Anna Nikolaidou
- Unconventional Computing Laboratory, University of the West of England, Bristol, UK
- School of Architecture and Environment, University of the West of England, Bristol, UK
| | | | - Andrew Adamatzky
- Unconventional Computing Laboratory, University of the West of England, Bristol, UK
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4
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Neri-Espinoza KA, Andraca-Adame JA, Domínguez-Crespo MA, Gutiérrez-Galicia F, Baca-Arroyo R, Dorantes-Rosales HJ, Peña-Sierra R. MnO/ZnO:Zn Thin-Film Frequency Adaptive Heterostructure for Future Sustainable Memristive Systems. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:659. [PMID: 38668153 PMCID: PMC11053656 DOI: 10.3390/nano14080659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/29/2024]
Abstract
In recent years, advances in materials engineering based on adaptive electronics have found a new paradigm to optimize drawbacks in signal processing. A two-layer MnO/ZnO:Zn heterostructure envisioned for frequency adaptive electronic signal processing is synthesized by sputtering, where the use of internal states allows reconfigurability to obtain new operating modes at different frequency input signals. X-ray diffraction (XRD) analysis is performed on each layer, revealing a cubic structure for MnO and a hexagonal structure for ZnO:Zn with preferential growth in [111] and [002] directions, respectively. Scanning electron microscope (SEM) micrographs show that the surface of both materials is homogeneous and smooth. The thickness for each layer is determined to be approximately 106.3 nm for MnO, 119.3 nm for ZnO:Zn and 224.1 nm for the MnO/ZnO:Zn structure. An electrical characterisation with an oscilloscope and signal generator was carried out to obtain the time-response signals and current-voltage (I-V) curves, where no degradation is detected when changing frequencies within the range of 100 Hz to 1 MHz. An equivalent circuit is proposed to explain the effects in the interface. Measurements of switching speeds from high resistance state (HRS) to low resistance state (LRS) at approximately 17 ns, highlight the device's rapid adaptability, and an estimated switching ratio of approximately 2 × 104 indicates its efficiency as a memristive component. Finally, the MnO/ZnO:Zn heterojunction delivers states that are stable, repeatable, and reproducible, demonstrating how the interaction of the materials can be utilised in adaptive device applications by applying frequencies and internal states to create new and innovative design schematics, thus reducing the number of components/connections in a system for future sustainable electronics.
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Affiliation(s)
- Karen A. Neri-Espinoza
- Department of Nanomaterials, Unidad Profesional Interdisciplinaria de Ingeniería Campus Hidalgo (UPIIH), Instituto Politécnico Nacional (IPN), Hidalgo 42162, Mexico; (M.A.D.-C.); (F.G.-G.)
| | - José A. Andraca-Adame
- Department of Nanomaterials, Unidad Profesional Interdisciplinaria de Ingeniería Campus Hidalgo (UPIIH), Instituto Politécnico Nacional (IPN), Hidalgo 42162, Mexico; (M.A.D.-C.); (F.G.-G.)
| | - Miguel A. Domínguez-Crespo
- Department of Nanomaterials, Unidad Profesional Interdisciplinaria de Ingeniería Campus Hidalgo (UPIIH), Instituto Politécnico Nacional (IPN), Hidalgo 42162, Mexico; (M.A.D.-C.); (F.G.-G.)
| | - Francisco Gutiérrez-Galicia
- Department of Nanomaterials, Unidad Profesional Interdisciplinaria de Ingeniería Campus Hidalgo (UPIIH), Instituto Politécnico Nacional (IPN), Hidalgo 42162, Mexico; (M.A.D.-C.); (F.G.-G.)
| | - Roberto Baca-Arroyo
- Department of Electronics, Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Instituto Politécnico Nacional (IPN), Mexico City 07738, Mexico;
| | - Héctor J. Dorantes-Rosales
- Department of Metallurgical and Materials Engineering, Escuela Superior de Ingeniería Química e Industrias Extractivas (ESIQIE), Instituto Politécnico Nacional (IPN), Mexico City 07738, Mexico;
| | - Ramón Peña-Sierra
- Department of Electrical Engineering, Sección de Electrónica de Estado Sólido (SEES), Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Mexico City 07360, Mexico;
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5
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Mougkogiannis P, Adamatzky A. Memfractance of Proteinoids. ACS OMEGA 2024; 9:15085-15100. [PMID: 38585073 PMCID: PMC10993267 DOI: 10.1021/acsomega.3c09330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/22/2024] [Accepted: 03/05/2024] [Indexed: 04/09/2024]
Abstract
Proteinoids, or thermal proteins, are amino acid polymers formed at high temperatures by nonbiological processes. The objective of this study is to examine the memfractance characteristics of proteinoids within a supersaturated hydroxyapatite solution. The ionic solution utilized for the current-voltage (I-V) measurements possessed an ionic strength of 0.15 mol/L, a temperature of 37 °C, and a pH value of 7.4. The I-V curves exhibited distinct spikes, which are hypothesized to arise from the capacitive charging and discharging of the proteinoid-hydroxyapatite media. The experimental results demonstrated a positive correlation between the concentration of proteinoids and the observed number of spikes in the I-V curves. This observation provides evidence in favor of the hypothesis that the spikes originate from the proteinoids' capacitive characteristics. The memfractance behavior exemplifies the capacity of proteinoids to retain electrical charge within the hydrated hydroxyapatite media. Additional investigation is required in order to comprehensively identify the memcapacitive phenomena and delve into their implications for models of protocellular membranes. In a nutshell, this study provides empirical support for the existence of capacitive membrane-memfractance mechanisms in ensembles of proteinoids.
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Affiliation(s)
| | - Andrew Adamatzky
- Unconventional Computing
Laboratory, UWE, Bristol BS16 1QY, U.K.
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6
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Sun B, Chen Y, Zhou G, Cao Z, Yang C, Du J, Chen X, Shao J. Memristor-Based Artificial Chips. ACS NANO 2024; 18:14-27. [PMID: 38153841 DOI: 10.1021/acsnano.3c07384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior that is assembled with a physically integrated core processing unit (CPU) and memory unit and even possesses highly possible multistate electrical behavior, could avoid the von Neumann bottleneck of traditional computing devices and show a highly efficient ability of parallel computation and high information storage. These advantages position them as potential candidates for future data-centric computing requirements and add remarkable vigor to the research of next-generation artificial intelligence (AI) systems, particularly those that involve brain-like intelligence applications. This work provides an overview of the evolution of memristor-based devices, from their initial use in creating artificial synapses and neural networks to their application in developing advanced AI systems and brain-like chips. It offers a broad perspective of the key device primitives enabling their special applications from the view of materials, nanostructure, and mechanism models. We highlight these demonstrations of memristor-based nanoelectronic devices that have potential for use in the field of brain-like AI, point out the existing challenges of memristor-based nanodevices toward brain-like chips, and propose the guiding principle and promising outlook for future device promotion and system optimization in the biomedical AI field.
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Affiliation(s)
- Bai Sun
- National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Yuanzheng Chen
- School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials, Southwest Jiaotong University, Chengdu, Sichuan 610031, People's Republic of China
| | - Guangdong Zhou
- College of Artificial Intelligence, Brain-inspired Computing & Intelligent Control of Chongqing Key Lab, Southwest University, Chongqing 400715, People's Republic of China
| | - Zelin Cao
- National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Chuan Yang
- School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials, Southwest Jiaotong University, Chengdu, Sichuan 610031, People's Republic of China
| | - Junmei Du
- School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials, Southwest Jiaotong University, Chengdu, Sichuan 610031, People's Republic of China
| | - Xiaoliang Chen
- Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Jinyou Shao
- Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
- Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
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7
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Nguyen TM, Choi CW, Lee JE, Heo D, Lee YW, Gu SH, Choi EJ, Lee JM, Devaraj V, Oh JW. Understanding the Role of M13 Bacteriophage Thin Films on a Metallic Nanostructure through a Standard and Dynamic Model. SENSORS (BASEL, SWITZERLAND) 2023; 23:6011. [PMID: 37447860 DOI: 10.3390/s23136011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Abstract
The dynamic and surface manipulation of the M13 bacteriophage via the meeting application demands the creation of a pathway to design efficient applications with high selectivity and responsivity rates. Here, we report the role of the M13 bacteriophage thin film layer that is deposited on an optical nanostructure involving gold nanoparticles/SiO2/Si, as well as its influence on optical and geometrical properties. The thickness of the M13 bacteriophage layer was controlled by varying either the concentration or humidity exposure levels, and optical studies were conducted. We designed a standard and dynamic model based upon three-dimensional finite-difference time-domain (3D FDTD) simulations that distinguished the respective necessity of each model under variable conditions. As seen in the experiments, the origin of respective peak wavelength positions was addressed in detail with the help of simulations. The importance of the dynamic model was noted when humidity-based experiments were conducted. Upon introducing varied humidity levels, the dynamic model predicted changes in plasmonic properties as a function of changes in NP positioning, gap size, and effective index (this approach agreed with the experiments and simulated results). We believe that this work will provide fundamental insight into understanding and interpreting the geometrical and optical properties of the nanostructures that involve the M13 bacteriophage. By combining such significant plasmonic properties with the numerous benefits of M13 bacteriophage (like low-cost fabrication, multi-wavelength optical characteristics devised from a single structure, reproducibility, reversible characteristics, and surface modification to suit application requirements), it is possible to develop highly efficient integrated plasmonic biomaterial-based sensor nanostructures.
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Affiliation(s)
- Thanh Mien Nguyen
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan 46241, Republic of Korea
| | - Cheol Woong Choi
- Department of Internal Medicine, Medical Research Institute and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si 50612, Republic of Korea
- School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Ji-Eun Lee
- School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
- Department of Ophthalmology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea
| | - Damun Heo
- School of Nano Convergence Technology, Hallym University, Chuncheon 24252, Republic of Korea
| | - Ye-Won Lee
- School of Nano Convergence Technology, Hallym University, Chuncheon 24252, Republic of Korea
| | - Sun-Hwa Gu
- School of Nano Convergence Technology, Hallym University, Chuncheon 24252, Republic of Korea
| | - Eun Jeong Choi
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan 46241, Republic of Korea
| | - Jong-Min Lee
- School of Nano Convergence Technology, Hallym University, Chuncheon 24252, Republic of Korea
- Center of Nano Convergence Technology, Hallym University, Chuncheon 24252, Republic of Korea
| | - Vasanthan Devaraj
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan 46241, Republic of Korea
| | - Jin-Woo Oh
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan 46241, Republic of Korea
- Department of Nanoenergy Engineering and Research Center for Energy Convergence Technology, Pusan National University, Busan 46214, Republic of Korea
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8
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Zhang C, Chen M, Pan Y, Li Y, Wang K, Yuan J, Sun Y, Zhang Q. Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207229. [PMID: 37072642 PMCID: PMC10238223 DOI: 10.1002/advs.202207229] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/09/2023] [Indexed: 05/03/2023]
Abstract
In the era of big data and artificial intelligence (AI), advanced data storage and processing technologies are in urgent demand. The innovative neuromorphic algorithm and hardware based on memristor devices hold a promise to break the von Neumann bottleneck. In recent years, carbon nanodots (CDs) have emerged as a new class of nano-carbon materials, which have attracted widespread attention in the applications of chemical sensors, bioimaging, and memristors. The focus of this review is to summarize the main advances of CDs-based memristors, and their state-of-the-art applications in artificial synapses, neuromorphic computing, and human sensory perception systems. The first step is to systematically introduce the synthetic methods of CDs and their derivatives, providing instructive guidance to prepare high-quality CDs with desired properties. Then, the structure-property relationship and resistive switching mechanism of CDs-based memristors are discussed in depth. The current challenges and prospects of memristor-based artificial synapses and neuromorphic computing are also presented. Moreover, this review outlines some promising application scenarios of CDs-based memristors, including neuromorphic sensors and vision, low-energy quantum computation, and human-machine collaboration.
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Affiliation(s)
- Cheng Zhang
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Mohan Chen
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Yelong Pan
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Yang Li
- Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy ApplicationSchool of Physical Science and TechnologySuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Kuaibing Wang
- Jiangsu Key Laboratory of Pesticide SciencesDepartment of ChemistryCollege of ScienceNanjing Agricultural UniversityNanjing210095China
| | - Junwei Yuan
- School of Chemistry and Life SciencesSuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Yanqiu Sun
- School of Chemistry and Life SciencesSuzhou University of Science and TechnologySuzhouJiangsu215009China
| | - Qichun Zhang
- Department of Materials Science and EngineeringDepartment of Chemistry and Center of Super‐Diamond and Advanced Films (COSDAF)City University of Hong Kong83 Tat Chee AvenueHong Kong999077China
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9
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Patil AR, Dongale TD, Namade LD, Mohite SV, Kim Y, Sutar SS, Kamat RK, Rajpure KY. Sprayed FeWO4 thin film-based memristive device with negative differential resistance effect for non-volatile memory and synaptic learning applications. J Colloid Interface Sci 2023; 642:540-553. [PMID: 37028161 DOI: 10.1016/j.jcis.2023.03.189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/21/2023] [Accepted: 03/29/2023] [Indexed: 04/04/2023]
Abstract
Resistive switching (RS) memories have attracted great attention as promising solutions to next-generation non-volatile memories and computing technologies because of their simple device configuration, high on/off ratio, low power consumption, fast switching, long retention, and significant cyclic stability. In this work, uniform and adherent iron tungstate (FeWO4) thin films were synthesized by the spray pyrolysis method with various precursor solution volumes, and these were tested as a switching layer for the fabrication of Ag/FWO/FTO memristive devices. The detailed structural investigation was done through various analytical and physio-chemical characterizations viz. X-ray diffraction (XRD) and its Rietveld refinement, Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS) techniques. The results reveal the pure and single-phase FeWO4 compound thin film formation. Surface morphological study shows the spherical particle formation having a diameter in the range of 20 to 40 nm. The RS characteristics of the Ag/FWO/FTO memristive device demonstrate non-volatile memory characteristics with significant endurance and retention properties. Interestingly, the memory devices show stable and reproducible negative differential resistance (NDR) effects. The in-depth statistical analysis suggests the good operational uniformity of the device. Moreover, the switching voltages of the Ag/FWO/FTO memristive device were modeled using the time series analysis technique by utilizing Holt's Winter Exponential Smoothing (HWES) approach. Additionally, the device mimics bio-synaptic properties such as potentiation/depression, excitatory post-synaptic current (EPSC), and spike-timing-dependent plasticity (STDP) learning rules. For the present device, the space-charge-limited current (SCLC) and trap-controlled-SCLC effects dominated during positive and negative bias I-V characteristics, respectively. The RS mechanism dominated in the low resistance state (LRS), and the high resistance state (HRS) was explained based on the formation and rupture of conductive filament composed of Ag ions and oxygen vacancies. This work demonstrates the RS in the metal tungstate-based memristive devices and demonstrates a low-cost approach for fabricating memristive devices.
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Affiliation(s)
- Amitkumar R Patil
- Electrochemical Materials Laboratory, Department of Physics, Shivaji University, Kolhapur 416004, India
| | - Tukaram D Dongale
- Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology, Shivaji University, Kolhapur 416004, India
| | - Lahu D Namade
- Electrochemical Materials Laboratory, Department of Physics, Shivaji University, Kolhapur 416004, India
| | - Santosh V Mohite
- Department of Applied Chemistry, Konkuk University, Chungju 27478, Republic of Korea
| | - Yeonho Kim
- Department of Applied Chemistry, Konkuk University, Chungju 27478, Republic of Korea
| | - Santosh S Sutar
- Yashwantrao Chavan School of Rural Development, Shivaji University, Kolhapur 416004, India
| | - Rajanish K Kamat
- Department of Electronics, Shivaji University, Kolhapur 416004, India; Dr. Homi Bhabha State University, 15, Madam Cama Road, Mumbai 400032, India
| | - Keshav Y Rajpure
- Electrochemical Materials Laboratory, Department of Physics, Shivaji University, Kolhapur 416004, India.
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10
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Wang R, Wang S, Xin Y, Cao Y, Liang Y, Peng Y, Feng J, Li Y, Lv L, Ma X, Wang H, Hao Y. All‐in‐One Compression and Encryption Engine Based on Flexible Polyimide Memristor. SMALL SCIENCE 2023. [DOI: 10.1002/smsc.202200082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Affiliation(s)
- Rui Wang
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Microelectronics Xidian University Xi'an 710071 China
| | - Saisai Wang
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Yuhan Xin
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Yaxiong Cao
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Yu Liang
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Yaqian Peng
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Jie Feng
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Yang Li
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Advanced Materials and Nanotechnology Xidian University Xi'an 710071 China
| | - Ling Lv
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Microelectronics Xidian University Xi'an 710071 China
| | - Xiaohua Ma
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Microelectronics Xidian University Xi'an 710071 China
| | - Hong Wang
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Microelectronics Xidian University Xi'an 710071 China
| | - Yue Hao
- Key Laboratory of Wide Band Gap Semiconductor Technology School of Microelectronics Xidian University Xi'an 710071 China
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Chen KH, Cheng CM, Wang NF, Hung HW, Li CY, Wu S. First Order Rate Law Analysis for Reset State in Vanadium Oxide Thin Film Resistive Random Access Memory Devices. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:198. [PMID: 36616108 PMCID: PMC9824478 DOI: 10.3390/nano13010198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 12/26/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
In the reset state, the decay reaction mechanism and bipolar switching properties of vanadium oxide thin film RRAM devices for LRS/HRS are investigated and discussed here. To discover the properties of I-V switching curves, the first order rate law behaviors of the reset state between the resistant variety properties and the reaction time were observed. To verify the decay reaction mechanism in the reset state, vanadium oxide thin films from RRAM devices were measured by different constant voltage sampling and exhibited the same decay reaction rate constant. Finally, the electrical conduction transfer mechanism and metallic filament forming model described by I-V switching properties of the RRAM devices were proven and investigated.
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Affiliation(s)
- Kai-Huang Chen
- Department of Electronic Engineering, Center for Environmental Toxin and Emerging-Contaminant Research, Super Micro Mass Research & Technology Center, Cheng Shiu University, Chengcing Rd., Niaosong District, Kaohsiung City 83347, Taiwan
| | - Chien-Min Cheng
- Department of Electronic Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan
| | - Na-Fu Wang
- Department of Electronic Engineering, Center for Environmental Toxin and Emerging-Contaminant Research, Super Micro Mass Research & Technology Center, Cheng Shiu University, Chengcing Rd., Niaosong District, Kaohsiung City 83347, Taiwan
| | - Hsiao-Wen Hung
- Green Energy and Environment Research Laboratories, Lighting Energy-Saving Department, Intelligent Energy-Saving Systems Division, Industrial Technology Research Institute, Hsinchu 31040, Taiwan
| | - Cheng-Ying Li
- Department of Electronic Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan
| | - Sean Wu
- Department of Chemical and Materials Engineering, Lunghwa University of Science and Technology, Taoyuan 33306, Taiwan
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