记忆电阻器
纳米流体学
物理
领域(数学)
纳米技术
经典力学
材料科学
纯数学
数学
量子力学
作者
Wei Wang,Yu Ma,Yizheng Liang
摘要
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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