Wearable fabric electronics for sensing, memory and neuromorphic computing applications

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Authors: Bo Sun, Lu Lin, Jialin Meng, Tianyu Wang
Cited by: 2
References: 157

Abstract

Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial intelligence systems. On the other hand, with the increasing popularity of flexible electronic devices, the development of the next‐generation of wearable neuromorphic electronics has been driven, especially the textile technology based on 1D fibers. The manufacturing method, material system, electrical characteristics and intelligent integration of electronic fabrics were systematically summarized. The review provides an in‐depth review of the research status of four key modules for artificial intelligence systems, including fabric batteries, fabric sensors, fabric displays, and fabric memristors. The main challenges and problems that neuromorphic electronic fabric technology currently needs to solve were pointed out, as well as prospects for intelligent fabric‐integrated microsystems that may shine in the future.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Advanced Memory and Neural Computing Transition Metal Oxide Nanomaterials

Publication details

Journal / source
FlexMat.
Publisher
Wiley
Volume
3
Issue
1
Pages
144–167
Publication date
21 January 2026
Language
EN