Work

A Self-Powered Synaptic Device Based on InGaO Nanowires for Humanoid Robot Learning

Year: 2025

Type: article

Source: ACS Applied Electronic Materials

DOI: 10.1021/acsaelm.5c01411

Authors: Rui Xu, Junyi Li, Tianxiang Wang, Yilin Shen, Liubin Yang, Yiping Shi, Linrui Cheng, Jianya Zhang, Yukun Zhao

Institutions: Suzhou University of Science and Technology, Chinese Academy of Sciences, Suzhou Institute of Nano-tech and Nano-bionics, 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: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, University of Science and Technology of China, Science and Technology Support Program of Jiangsu Province

Awards: G1133471823, G3037560035, G4148256113, G6873665220, G7597471907

OpenAlex ID: W4414628824

FWCI: 0.231

Cites: 49

Cited by: 1

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