Nature Communications (Jul 2022)

Cluster-type analogue memristor by engineering redox dynamics for high-performance neuromorphic computing

  • Jaehyun Kang,
  • Taeyoon Kim,
  • Suman Hu,
  • Jaewook Kim,
  • Joon Young Kwak,
  • Jongkil Park,
  • Jong Keuk Park,
  • Inho Kim,
  • Suyoun Lee,
  • Sangbum Kim,
  • YeonJoo Jeong

DOI
https://doi.org/10.1038/s41467-022-31804-4
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Conventional filamentary memristors are limited in dynamics by the high electric-field dependence of the conductive filament. Here, Jeong et al. presents a method which creates a cluster-type memristor, enabling large conductance range and long data retention.