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Wang W, Liang Y, Ma Y, Shi D, Xie Y. Memristive Characteristics in an Asymmetrically Charged Nanochannel. J Phys Chem Lett 2024:6852-6858. [PMID: 38917304 DOI: 10.1021/acs.jpclett.4c00488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
The emergent nanofluidic memristor provides a promising way of emulating neuromorphic functions in the brain. The conical-shaped nanopore showed promising features for a nanofluidic memristor, inspiring us to investigate the memory effects in asymmetrically charged nanochannels due to their high current rectification, which may result in good memory effects. Here, the memory effects of an asymmetrically charged nanofluidic channel were numerically simulated by Poisson-Nernst-Planck equations. Our results showed that the I-V curves represented a diode in low scanning frequency and then became a memristor and finally a resistor as frequency increased. We successfully replicated the learning behavior in our system with history-dependent ion redistribution in the nanochannel. Some critical factors were quantitatively analyzed for the memory effects including voltage amplitude, optimal frequency, and Dukhin number. Experimental characterizations were also carried out. Our findings are useful for the design of nanofluidic memristors by the principle of enrichment and depletion as well as the determination of the best memory settings.
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Affiliation(s)
- Wei Wang
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710129, P. R. China
| | - Yizheng Liang
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710129, P. R. China
| | - Yu Ma
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710129, P. R. China
| | - Deli Shi
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710129, P. R. China
| | - Yanbo Xie
- School of Aeronautics and Institute of Extreme Mechanics, Northwestern Polytechnical University, Xi'an, Shaanxi Province 710072, P. R. China
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Ling Y, Yu L, Guo Z, Bian F, Wang Y, Wang X, Hou Y, Hou X. Single-Pore Nanofluidic Logic Memristor with Reconfigurable Synaptic Functions and Designable Combinations. J Am Chem Soc 2024; 146:14558-14565. [PMID: 38755097 DOI: 10.1021/jacs.4c01218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
The biological neural network is a highly efficient in-memory computing system that integrates memory and logical computing functions within synapses. Moreover, reconfiguration by environmental chemical signals endows biological neural networks with dynamic multifunctions and enhanced efficiency. Nanofluidic memristors have emerged as promising candidates for mimicking synaptic functions, owing to their similarity to synapses in the underlying mechanisms of ion signaling in ion channels. However, realizing chemical signal-modulated logic functions in nanofluidic memristors, which is the basis for brain-like computing applications, remains unachieved. Here, we report a single-pore nanofluidic logic memristor with reconfigurable logic functions. Based on the different degrees of protonation and deprotonation of functional groups on the inner surface of the single pore, the modulation of the memristors and the reconfiguration of logic functions are realized. More noteworthy, this single-pore nanofluidic memristor can not only avoid the average effects in multipore but also act as a fundamental component in constructing complex neural networks through series and parallel circuits, which lays the groundwork for future artificial nanofluidic neural networks. The implementation of dynamic synaptic functions, modulation of logic gates by chemical signals, and diverse combinations in single-pore nanofluidic memristors opens up new possibilities for their applications in brain-inspired computing.
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Affiliation(s)
- Yixin Ling
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Lejian Yu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Ziwen Guo
- Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, China
| | - Fazhou Bian
- Department of Physics, Research Institute for Biomimetics and Soft Matter, Fujian Provincial Key Laboratory for Soft Materials Research, Jiujiang Research Institute, College of Physical Science and Technology, Xiamen University, Xiamen 361005, China
| | - Yanqiong Wang
- Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China
| | - Xin Wang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Yaqi Hou
- Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China
| | - Xu Hou
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
- Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, China
- Department of Physics, Research Institute for Biomimetics and Soft Matter, Fujian Provincial Key Laboratory for Soft Materials Research, Jiujiang Research Institute, College of Physical Science and Technology, Xiamen University, Xiamen 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361102, China
- Engineering Research Center of Electrochemical Technologies of Ministry of Education, Xiamen University, Xiamen 361005, China
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Ramirez P, Portillo S, Cervera J, Bisquert J, Mafe S. Memristive arrangements of nanofluidic pores. Phys Rev E 2024; 109:044803. [PMID: 38755814 DOI: 10.1103/physreve.109.044803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/29/2024] [Indexed: 05/18/2024]
Abstract
We demonstrate that nanofluidic diodes in multipore membranes show a memristive behavior that can be controlled not only by the amplitude and frequency of the external signal but also by series and parallel arrangements of the membranes. Each memristor consists of a polymeric membrane with conical nanopores that allow current rectification due to the electrical interaction between the ionic solution and the pore surface charges. This surface charge-regulated ionic transport shows a rich nonlinear physics, including memory and inductive effects, which are characterized here by the current-voltage curves and electrical impedance spectroscopy. Also, neuromorphiclike potentiation of the membrane conductance following voltage pulses (spikes) is observed. The multipore membrane with nanofluidic diodes shows physical concepts that should have application for information processing and signal conversion in iontronics hybrid devices.
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Affiliation(s)
- Patricio Ramirez
- Departament de Física Aplicada, Universitat Politècnica de València, E-46022 València, Spain
| | - Sergio Portillo
- 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
| | - Juan Bisquert
- Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain
| | - Salvador Mafe
- Departament de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
- Allen Discovery Center at Tufts University, Medford, Massachusetts 02155, USA
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Shi D, Wang W, Liang Y, Duan L, Du G, Xie Y. Ultralow Energy Consumption Angstrom-Fluidic Memristor. NANO LETTERS 2023; 23:11662-11668. [PMID: 38064458 DOI: 10.1021/acs.nanolett.3c03518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
The emergence of nanofluidic memristors has made a giant leap to mimic the neuromorphic functions of biological neurons. Here, we report neuromorphic signaling using Angstrom-scale funnel-shaped channels with poly-l-lysine (PLL) assembled at nano-openings. We found frequency-dependent current-voltage characteristics under sweeping voltage, which represents a diode in low frequencies, but it showed pinched current hysteresis as frequency increases. The current hysteresis is strongly dependent on pH values but weakly dependent on salt concentration. We attributed the current hysteresis to the entropy barrier of PLL molecules entering and exiting the Angstrom channels, resulting in reversible voltage-gated open-close state transitions. We successfully emulated the synaptic adaptation of Hebbian learning using voltage spikes and obtained a minimum energy consumption of 2-23 fJ in each spike per channel. Our findings pave a new way to mimic neuronal functions by Angstrom channels in low energy consumption.
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Affiliation(s)
- Deli Shi
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, 710129, China
| | - Wenhui Wang
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, 710129, China
| | - Yizheng Liang
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, 710129, China
| | - Libing Duan
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, 710129, China
| | - Guanghua Du
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Yanbo Xie
- School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, 710129, China
- School of Aeronautics and Institute of Extreme Mechanics, Northwestern Polytechnical University, Xi'an, 710072, China
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Ramirez P, Gómez V, Cervera J, Mafe S, Bisquert J. Synaptical Tunability of Multipore Nanofluidic Memristors. J Phys Chem Lett 2023:10930-10934. [PMID: 38033300 DOI: 10.1021/acs.jpclett.3c02796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
We demonstrate a multipore nanofluidic memristor with conical pores showcasing a wide range of hysteresis and memristor properties that provide functionalities for brainlike computation in neuromorphic applications. Leveraging the interplay between the charged functional groups on the pore surfaces and the confined ionic solution, the memristor characteristics are modulated through the electrolyte type, ionic concentrations, and pH levels of the aqueous solution. The multipore membrane mimics the functional characteristics of biological ion channels and displays synaptical potentiation and depression. Furthermore, this property can be inverted in polarity by chemically varying the pH level. The ability to modulate memory effects by ionic conductivity holds promise for enhancing signal information processing capabilities.
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Affiliation(s)
- Patricio Ramirez
- Dept. de Física Aplicada, Universitat Politècnica de València, E-46022 València, Spain
| | - Vicente Gómez
- Dept. de Física Aplicada, Universitat Politècnica de València, E-46022 València, Spain
| | - Javier Cervera
- Dept. de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
| | - Salvador Mafe
- Dept. de Física Aplicada, Universitat Politècnica de València, E-46022 València, Spain
- Dept. de Física de la Terra i Termodinàmica, Universitat de València, E-46100 Burjassot, Spain
| | - Juan Bisquert
- Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain
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