Nature Communications (Dec 2022)

Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics

  • 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

DOI
https://doi.org/10.1038/s41467-022-35160-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 8

Abstract

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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.