Nano-Micro Letters (Mar 2023)

Two-Terminal Lithium-Mediated Artificial Synapses with Enhanced Weight Modulation for Feasible Hardware Neural Networks

  • Ji Hyun Baek,
  • Kyung Ju Kwak,
  • Seung Ju Kim,
  • Jaehyun Kim,
  • Jae Young Kim,
  • In Hyuk Im,
  • Sunyoung Lee,
  • Kisuk Kang,
  • Ho Won Jang

DOI
https://doi.org/10.1007/s40820-023-01035-3
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 18

Abstract

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Highlights The Li-mediated artificial synapses with a vertical two-terminal configuration capable of various synaptic behaviors, including bio-plausible synaptic plasticity, were successfully demonstrated for the first time and thoroughly explored Synaptic characteristics based on the progressive dearth of Li in Li x Co2 films are precisely controlled over the weight control spike, achieving extraordinary weight control functionality. In artificial neural network simulation, Li x CoO2-based neuromorphic system showed excellent accuracy comparable to the theoretical maximum due to the low nonlinearity and programming error, suggesting feasibility of hardware neural network implementation.

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