Macroscale nanofluidic memristors enable iontronic memory, sensing and programmable separation

Memristors—electronic and ionic elements with memory—have transformed neuromorphic computing, but their extension to practical fluidic systems has been limited to individual or few nanochannels. Here, we demonstrate a macroscale nanofluidic memristor, combining experiments and simulations in a scalable membrane platform. We reveal that asymmetric ion polarization dynamics in nanochannels under AC fields generate memristive response—a prediction confirmed experimentally in a scalable membrane architecture. The macroscopic design exhibits tunable ion transport with programmable on/off states, enabling spike-timing-dependent control of ion fluxes that mimics synaptic plasticity. Beyond neuromorphic behavior, we demonstrate ion-specific chemical sensing and programmable, on demand ion separation. This work bridges nanofluidic phenomena with macroscale functionality, opening avenues for large-area iontronic memory, adaptive filtration, bio-inspired computing, and selective ion detection. Memristors have transformed neuromorphic computing, yet fluidic implementations remain limited. Here, the authors demonstrate a scalable nanofluidic memristor for memory, neuromorphic ion transport, sensing, and programmable ion separation.

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Publication Details

Journal
Communications Materials
Published
2026-07-30
DOI
https://doi.org/10.1038/s43246-026-01313-8
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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Macroscale nanofluidic memristors enable iontronic memory, sensing and programmable separation

Javier Pérez‐Carvajal, Zhi Xu, Theneyur Narayanaswamy Banuprasad, Soufiane Abdelghani‐Idrissi et al.
Communications Materials
Advanced Memory and Neural Computing
article

Macroscale nanofluidic memristors enable iontronic memory, sensing and programmable separation

Javier Pérez‐Carvajal, Zhi Xu, Theneyur Narayanaswamy Banuprasad, Soufiane Abdelghani‐Idrissi, Alessandro Siria, Han Hu, Huan Xu
article en

Abstract

Memristors—electronic and ionic elements with memory—have transformed neuromorphic computing, but their extension to practical fluidic systems has been limited to individual or few nanochannels. Here, we demonstrate a macroscale nanofluidic memristor, combining experiments and simulations in a scalable membrane platform. We reveal that asymmetric ion polarization dynamics in nanochannels under AC fields generate memristive response—a prediction confirmed experimentally in a scalable membrane architecture. The macroscopic design exhibits tunable ion transport with programmable on/off states, enabling spike-timing-dependent control of ion fluxes that mimics synaptic plasticity. Beyond neuromorphic behavior, we demonstrate ion-specific chemical sensing and programmable, on demand ion separation. This work bridges nanofluidic phenomena with macroscale functionality, opening avenues for large-area iontronic memory, adaptive filtration, bio-inspired computing, and selective ion detection. Memristors have transformed neuromorphic computing, yet fluidic implementations remain limited. Here, the authors demonstrate a scalable nanofluidic memristor for memory, neuromorphic ion transport, sensing, and programmable ion separation.

Communications Materials
Shenzhen University (CN), Dalian University of Technology (CN), Instituto de Ciencia de Materiales de Madrid (ES), Université Gustave Eiffel (FR), Tsinghua University (CN)
National Natural Science Foundation of China, Agencia Estatal de Investigación
Affordable and clean energy
Openalex Percentile: Top 16%
Advanced Memory and Neural Computing
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