Nature Communications (Feb 2022)

High-precision and linear weight updates by subnanosecond pulses in ferroelectric tunnel junction for neuro-inspired computing

  • Zhen Luo,
  • Zijian Wang,
  • Zeyu Guan,
  • Chao Ma,
  • Letian Zhao,
  • Chuanchuan Liu,
  • Haoyang Sun,
  • He Wang,
  • Yue Lin,
  • Xi Jin,
  • Yuewei Yin,
  • Xiaoguang Li

DOI
https://doi.org/10.1038/s41467-022-28303-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Brain-inspired computing demands high-performance synapses. Here, the authors report a subnanosecond ferroelectric tunnel junction with 256 conductance states, 109 endurance, and 5.3 fJ/bit energy consumption, satisfactory to build synaptic devices.