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Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics

Authors :
Tianyu Wang
Jialin Meng
Xufeng Zhou
Yue Liu
Zhenyu He
Qi Han
Qingxuan Li
Jiajie Yu
Zhenhai Li
Yongkai Liu
Hao Zhu
Qingqing Sun
David Wei Zhang
Peining Chen
Huisheng Peng
Lin Chen
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Neuromorphic computing memristors are attractive to construct low-power- consumption electronic textiles. Here, authors report an ultralow-power textile memristor network of Ag/MoS2/HfAlOx/carbon nanotube with reconfigurable characteristics and firing energy consumption of 1.9 fJ/spike.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.7aa372687aa742a0bb3ae2578c2376da
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-35160-1