Wrinkle Assisted Nanofluidic Memristors for Tunable Ionic Memory and Neuromorphic Learning

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Authors: Minsu Kwon, Dongwoo Seo, Taesung Kim
Cited by: 0
References: 4

Abstract

Electronic memristors have accelerated neuromorphic research, yet their electron transport and complex fabrication limit biological fidelity and scalability. We present a wrinkle-based nanochannel array device (WNAD) formed by selectively preserved nanoscale wrinkles within a OSTEMER-OSTEMER bridge region, enabling simple, low-cost, and geometry-tunable ionic memory. By controlling nanochannel number and length, the WNAD exhibits strong memristive hysteresis and reproduces key synaptic behaviors including STP, LTP, PPF, and stable potentiation-depression. Higher-order processes such as learning, forgetting, and relearning further highlight geometry-dependent memory consolidation. This work introduces a scalable, bio-inspired nanofluidic platform for next-generation ionic memory and neuromorphic computing.

Fields of Study & Subjects

Advanced Memory and Neural Computing Nanopore and Nanochannel Transport Studies Neuroscience and Neural Engineering

Publication details

Journal / source
IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
Pages
1567–1570
Publication date
25 January 2026
Language
EN