Brain-inspired computing with fluidic iontronic nanochannels

• 成果类型: Article
• 署名作者: Kamsma, Tim M.; Kim, Jaehyun; Kim, Kyungjun; Boon, Willem Q.; Spitoni, Cristian; Park, Jungyul; van Roij, Rene
• 署名单位: Utrecht University; Utrecht University; Sogang University
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13955
• DOI: 10.1073/pnas.2320242121
• 发表日期: 2024-04-30
• 关键词: concentration polarization; propagation; transport; nanopores; memory

摘要

The brain's remarkable and efficient information processing capability is driving research into brain -inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels are emerging as an exciting platform for neuromorphic computing, representing a departure from conventional solid-state devices by directly mimicking the brain's fluidic ion transport. Supported by a quantitative theoretical model, we present easy -to -fabricate tapered microchannels that embed a conducting network of fluidic nanochannels between a colloidal structure. Due to transient salt concentration polarization, our devices are volatile memristors (memory resistors) that are remarkably stable. The voltage -driven net salt flux and accumulation, that underpin the concentration polarization, surprisingly combine into a diffusionlike quadratic dependence of the memory retention time on the channel length, allowing channel design for a specific timescale. We implement our device as a synaptic element for neuromorphic reservoir computing. Individual channels distinguish various time series, that together represent (handwritten) numbers, for subsequent in silico classification with a simple readout function. Our results represent a significant step toward realizing the promise of fluidic ion channels as a platform to emulate the rich aqueous dynamics of the brain.