Field-effect nanofluidic memristor

Nanofluidic memristors provide an unprecedented platform for neuromorphic computing by ionic conductance switching through hydrated ion transport dynamics and ion redistribution within nanochannels. Herein, we present a three-terminal field-effect nanofluidic memristor with gate-controlled ionic transmission that enables multidimensional reconfiguration of memristive characteristics, emulating both structural and functional features of voltage-gated biological ion channels. Through phase-modulated gate pulses, we achieve programmable frequency-adaptive pinched hysteresis with loop area scaling, quadrant-selective orientation, bidirectional hysteresis polarity, and low-pass filtering properties. Critically, the device emulates bio-synaptic plasticity at low-level energy consumption per spike. This work establishes an electrostatically gated neuromorphic platform for adaptive learning, suggesting nanofluidic field-effect transistors as feasible blocks for energy-efficient neuromorphic systems.

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Publication Details

Journal
Physics of Fluids
Published
2025-08-01
DOI
https://doi.org/10.1063/5.0281562
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Field-effect nanofluidic memristor

Wei Wang, Yu Ma, Yizheng Liang
Physics of Fluids
Advanced Memory and Neural Computing
article

Field-effect nanofluidic memristor

Wei Wang, Yu Ma, Yizheng Liang
article en

Abstract

Nanofluidic memristors provide an unprecedented platform for neuromorphic computing by ionic conductance switching through hydrated ion transport dynamics and ion redistribution within nanochannels. Herein, we present a three-terminal field-effect nanofluidic memristor with gate-controlled ionic transmission that enables multidimensional reconfiguration of memristive characteristics, emulating both structural and functional features of voltage-gated biological ion channels. Through phase-modulated gate pulses, we achieve programmable frequency-adaptive pinched hysteresis with loop area scaling, quadrant-selective orientation, bidirectional hysteresis polarity, and low-pass filtering properties. Critically, the device emulates bio-synaptic plasticity at low-level energy consumption per spike. This work establishes an electrostatically gated neuromorphic platform for adaptive learning, suggesting nanofluidic field-effect transistors as feasible blocks for energy-efficient neuromorphic systems.

Physics of FluidsVol. 37(8)
Xidian University (CN), Northwestern Polytechnical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Advanced Memory and Neural Computing
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