Fiber-Shaped Optoelectronic Synaptic Device for Neuromorphic Computing in Electronic Textiles

IEEE Electron Device Letters 2026

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Authors: Jieru Song, Jialin Meng, Chen Lu, Tianyu Wang, Hao Zhu, Qingqing Sun, Peining Chen, D. W. Zhang, Lin Chen
DOI: 10.1109/led.2026.3654557
Cited by: 1
References: 29

Abstract

Neuromorphic computing shows prospects in the field of wearable electronics due to its significant advantages in edge computing. Fiber-shaped devices represent an optimal platform for wearable systems owing to their weaveability. In this work, we demonstrate a two-terminal optoelectronic synaptic device based on IGZO thin films fabricated on Pt fibers. The top electrode was patterned through a special patternization process and fabricated into a two-terminal device, enabling dual-mode optical/electrical neuromorphic functionalities. Based on of long-term potentiation characteristic, the device achieves 92.1% accuracy on MNIST pattern recognition tasks. These results demonstrate viable approaches for functional diversification of fiber-shaped devices.

Fields of Study & Subjects

Advanced Memory and Neural Computing Neural Networks and Reservoir Computing Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
IEEE Electron Device Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
47
Issue
3
Pages
625–628
Publication date
15 January 2026