Wrinkle Assisted Nanofluidic Memristors for Tunable Ionic Memory and Neuromorphic Learning
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