Nanoscale Research Letters (Mar 2019)

Atomic Layer Deposited Hf0.5Zr0.5O2-based Flexible Memristor with Short/Long-Term Synaptic Plasticity

  • Tian-Yu Wang,
  • Jia-Lin Meng,
  • Zhen-Yu He,
  • Lin Chen,
  • Hao Zhu,
  • Qing-Qing Sun,
  • Shi-Jin Ding,
  • David Wei Zhang

DOI
https://doi.org/10.1186/s11671-019-2933-y
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 6

Abstract

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Abstract Artificial synapses are the fundamental of building a neuron network for neuromorphic computing to overcome the bottleneck of the von Neumann system. Based on a low-temperature atomic layer deposition process, a flexible electrical synapse was proposed and showed bipolar resistive switching characteristics. With the formation and rupture of ions conductive filaments path, the conductance was modulated gradually. Under a series of pre-synaptic spikes, the device successfully emulated remarkable short-term plasticity, long-term plasticity, and forgetting behaviors. Therefore, memory and learning ability were integrated to the single flexible memristor, which are promising for the next-generation of artificial neuromorphic computing systems.

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