Photoelectrochemical Nanofluidic Memristor: A New Family of Neuromorphic Building Blocks

Due to the heterogeneous structures and functions of the human nervous system, innovation of neuromorphic building blocks has long been the goal of neuromorphic engineering. Here, we report on a new concept of photoelectrochemical nanofluidic memristor (PNM) with analogous synaptic transmission to that in human vision. By matching miniaturized n-type or p-type semiconducting electrodes with negatively- or positively-charged nanochannels, four combinations of PNMs are produced with rich hysteresis characteristics and bio-realistic retinomorphic functions. Heterologous regulation and algorithmic-nanofluidic applications are further implemented in this device. As a proof of concept, the PNM will serve as a general technique to catalyze a new family of neuromorphic building blocks for advancing aqueous neuromorphic exploration.

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Publication Details

Journal
Advanced Materials
Published
2026-03-13
DOI
https://doi.org/10.1002/adma.202517362
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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Photoelectrochemical Nanofluidic Memristor: A New Family of Neuromorphic Building Blocks

Zhen Wu, Huimin Jia, Z. D. Han, Jing‐Juan Xu et al.
Advanced Materials
Advanced Memory and Neural Computing
article

Photoelectrochemical Nanofluidic Memristor: A New Family of Neuromorphic Building Blocks

Zhen Wu, Huimin Jia, Z. D. Han, Jing‐Juan Xu, Feng‐Zao Chen, Wei‐Wei Zhao, Jian‐Xiang Pang, Chang Xiong
article en

Abstract

Due to the heterogeneous structures and functions of the human nervous system, innovation of neuromorphic building blocks has long been the goal of neuromorphic engineering. Here, we report on a new concept of photoelectrochemical nanofluidic memristor (PNM) with analogous synaptic transmission to that in human vision. By matching miniaturized n-type or p-type semiconducting electrodes with negatively- or positively-charged nanochannels, four combinations of PNMs are produced with rich hysteresis characteristics and bio-realistic retinomorphic functions. Heterologous regulation and algorithmic-nanofluidic applications are further implemented in this device. As a proof of concept, the PNM will serve as a general technique to catalyze a new family of neuromorphic building blocks for advancing aqueous neuromorphic exploration.

Advanced Materials
Nantong University (CN), Zhejiang University (CN), Nanjing University (CN), Xuchang University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Advanced Memory and Neural Computing
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