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A Controllable Method to Integrate Single GaN/Ga 2 O 3 Nanowire into Ultralow‐Energy‐Consumption Synaptic Nano‐Device for Neuromorphic Computing (Advanced Optical Materials 35/2025)

Year: 2025

Type: article

Abstract: Controllable Method for Synaptic Nano-Device In the Research Article (DOI: 10.1002/adom.202502484), Jianya Zhang, Yonglin Huang, Yukun Zhao, and co-workers report a controllable method to integrate single nanowire into synaptic nano-device with ultralow power consumption. It can mimic multiple functions of biological synapses for learning, corresponding to those in cover image. Due to the advantages of simplicity and cost-efficiency, this method has a promising prospect.

Source: Advanced Optical Materials

DOI: 10.1002/adom.70678

Authors: Liubin Yang, Jianya Zhang, Linrui Cheng, Qiyu Xu, Yibin Wang, Yonglin Huang, Yukun Zhao

Institutions: Chinese Academy of Sciences, Nanjing University of Posts and Telecommunications, Suzhou Institute of Nano-tech and Nano-bionics, Suzhou University of Science and Technology, University of Science and Technology of China

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4417216156

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