Highly Reliable Electronic Synapse Based on Au@Al2O3 Core-Shell Nanoparticles for Neuromorphic Applications

Fumin Ma, Zhongwei Xu, Yang Liu, Yueting Zheng, Wei Chen, Hailong Hu, Tailiang Guo, Fushan Li, Chaoxing Wu, Tae Whan Kim

Research output: Contribution to journalArticle

Abstract

Simulating synaptic function and building brain-inspired computers have received widespread attention. The memristor is considered to be an electronic version of the synapse and an excellent element for creating a brand-new artificial intelligence system in the future. However, most memristor-based electronic synapses currently exhibit low stability due to complex resistance switching processes. Based on a controllable in-situ formation strategy that we were able to employ with atomic layer deposition, we fabricated electronic synapses based on Au@Al2O3 core-shell nanoparticles. Our device exhibited extremely reliable, stable, and durable performance and showed a capability to emulate biological synaptic behavior, including synaptic plasticity, long-term depression (LTD), long-term potentiation (LTP), amplitude dependence, and frequency dependence. This research provides a strategy for manufacturing highly-reliable electronic synapses for neuromorphic applications.

Original languageEnglish
Article number8802266
Pages (from-to)1610-1613
Number of pages4
JournalIEEE Electron Device Letters
Volume40
Issue number10
DOIs
StatePublished - 2019 Oct

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Keywords

  • artificial intelligence
  • atomic layer deposition
  • Au nanoparticle
  • Electronic synapse
  • in-situ formation
  • memristor

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