Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics

Autor: 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
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-35160-1
Popis: 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.
Databáze: Directory of Open Access Journals