Wrinkle-Assisted Nanofluidic Memristors for Geometry-Dependent Ionic Memory

Electronic memristors have greatly advanced artificial synapse research, but their reliance on electron transport, which differs intrinsically from the ion-mediated signaling and spatiotemporal dynamics of biological synapses. Here, we present wrinkle-based, geometry-tunable nanochannels integrated within a hybrid polydimethylsiloxane (PDMS)-OSTEMER chip as a simple, low-cost, and reproducible platform for ionic memory. Exploiting the modulus mismatch between PDMS and OSTEMER, nanoscale wrinkles were selectively preserved only within the designated bridge region, forming a controllable array of nanochannels that govern ionic transport. By tailoring the number and length of these nanochannels, ionic conduction and memory characteristics could be precisely modulated. The resulting wrinkle-based nanochannel array device (WNAD) exhibited pronounced memristive hysteresis and effectively emulated key synaptic plasticity behaviors, including short-term plasticity (STP), paired-pulse facilitation (PPF), and reproducible potentiation-depression cycles. Moreover, the WNAD reproduced cumulative reinforcement under repeated stimulation, demonstrating geometry-dependent memory consolidation analogous to biological conditioning. Collectively, this study established wrinkle-based nanochannels as a bioinspired nanofluidic platform for ionic memory, bridging confined ionic transport and neuromorphic functionality.

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Publication Details

Journal
ACS Nano
Published
2026-04-03
DOI
https://doi.org/10.1021/acsnano.5c20258
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Wrinkle-Assisted Nanofluidic Memristors for Geometry-Dependent Ionic Memory

Dongwoo Seo, Minsu Kwon, Taesung Kim
ACS Nano
Advanced Memory and Neural Computing
article

Wrinkle-Assisted Nanofluidic Memristors for Geometry-Dependent Ionic Memory

Dongwoo Seo, Minsu Kwon, Taesung Kim
article en

Abstract

Electronic memristors have greatly advanced artificial synapse research, but their reliance on electron transport, which differs intrinsically from the ion-mediated signaling and spatiotemporal dynamics of biological synapses. Here, we present wrinkle-based, geometry-tunable nanochannels integrated within a hybrid polydimethylsiloxane (PDMS)-OSTEMER chip as a simple, low-cost, and reproducible platform for ionic memory. Exploiting the modulus mismatch between PDMS and OSTEMER, nanoscale wrinkles were selectively preserved only within the designated bridge region, forming a controllable array of nanochannels that govern ionic transport. By tailoring the number and length of these nanochannels, ionic conduction and memory characteristics could be precisely modulated. The resulting wrinkle-based nanochannel array device (WNAD) exhibited pronounced memristive hysteresis and effectively emulated key synaptic plasticity behaviors, including short-term plasticity (STP), paired-pulse facilitation (PPF), and reproducible potentiation-depression cycles. Moreover, the WNAD reproduced cumulative reinforcement under repeated stimulation, demonstrating geometry-dependent memory consolidation analogous to biological conditioning. Collectively, this study established wrinkle-based nanochannels as a bioinspired nanofluidic platform for ionic memory, bridging confined ionic transport and neuromorphic functionality.

ACS NanoVol. 20(14)
Ulsan National Institute of Science and Technology (KR)
Ulsan National Institute of Science and Technology, National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 24%
Advanced Memory and Neural Computing
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