Ion‐Doped Nanofluidic Memristors: A Platform for Tunable Synaptic Emulation

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Authors: Zhiwei Liu, Guoheng Xu, Binbo Li, Yaohui Gu, Yuhui Hu, Fangfang Xu, Bo Wang, Zhengguo Hu, JINGLAI DUAN
Cited by: 1
References: 47

Abstract

ABSTRACT Nanofluidic ionic memristors have garnered considerable attention for their operational principles that emulate biological synapses, positioning them as promising candidates for neuromorphic systems. However, simultaneously achieving non‐volatility and function‐tunability in ionic memristors remains a significant challenge. Here, we demonstrate the successful emulation of key neuromorphic functions, including neural activation and synaptic plasticity, using a nanofluidic memristor integrated with sub‐nanometer (sub‐nm) channels within ion‐track membranes. Unlike unipolar resistive switching, which is predominantly driven by concentration polarization in symmetric ion solution system, we demonstrate a reversible transport switching mechanism, triggered by multivalent ions (e.g., Ca 2+ and La 3+ ), that toggles between fast and slow modes. This mechanism induces a transition to bipolar resistive switching, significantly enhancing the device's non‐volatility while preserving its reversibility. Furthermore, the memristive response can be effectively tuned by varying the doping concentration and external voltage. These findings provide new insights and design strategies for developing tunable bio‐synapse emulation platforms operating in ionic aqueous media.

Fields of Study & Subjects

Advanced Memory and Neural Computing Nanopore and Nanochannel Transport Studies Advanced battery technologies research

Publication details

Journal / source
Small
Publisher
Wiley
Volume
22
Issue
23
Pages
e14484–e14484
Publication date
18 February 2026
Language
EN