Controllable and Cost‐Efficient Three‐Terminal GaN Nano‐Synapse for Brain‐Inspired Computing (Small 27/2026)

Small 2026

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Authors: Xiushuo Gu, Zhiyang Liu, Junhua Zhang, Xing Huang, Y ZHAO, Lifeng Bian
DOI: 10.1002/smll.73499
Cited by: 1

Abstract

Neuromorphic Computing In the Research Article (e14447), Jianya Zhang, Xing Huang, Yukun Zhao, Lifeng Bian, and co-workers report a three-terminal synaptic nano-device based on GaN nanowire, which can mimic multiple functions of biological synapses for learning. The postsynaptic current can be enhanced over 1,000 % by modulating electrical gating, corresponding to the hand in cover image. This finding advances the development of controllable and cost-efficient three-terminal nano-devices.

Fields of Study & Subjects

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

Publication details

Journal / source
Small
Publisher
Wiley
Volume
22
Issue
27
Publication date
1 May 2026
Language
EN