Nature Communications (Oct 2020)

Graphene memristive synapses for high precision neuromorphic computing

  • Thomas F. Schranghamer,
  • Aaryan Oberoi,
  • Saptarshi Das

DOI
https://doi.org/10.1038/s41467-020-19203-z
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

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Designing efficient and low power memristors-based neuromorphic systems remains a challenge. Here, the authors present graphene-based multi-level (>16) and non-volatile memristive synapses with arbitrarily programmable conductance states capable of weight assignment based on k-means clustering.