CuInP2S6-Based Electronic/Optoelectronic Synapse for Artificial Visual System Application

Yiqun Liu, Yonghuang Wu, Haojie Han, Yue Wang, Ruixuan Peng, Kai Liu, Di Yi, Ce Wen Nan, Jing Ma*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

With the development of information processing, various neuromorphic synaptic devices have been proposed, including novel devices mimicking multiple sensory systems in the biosome, in which vision is a vital source of information. Due to the pressing issue of high energy consumption and the ever-increasing complexity of practical application scenarios, there is an urgent need to investigate optoelectronic synapses with simple structure but multifunctional capabilities, thereby broadening their application scope. Here, remarkable performances in both electrical and optical operation modes are achieved in multilayer graphene/CuInP2S6/Au electronic/optoelectronic device. By modulating the electrical and optical pulses, both short-term and long-term memory can be emulated in the same device, while visual perception, processing, and memorizing functions are demonstrated in this single cell with relatively low energy consumption. In addition, light adaptive behavior can also be simulated through optical–electrical cooperative modulation in the device, further providing a novel and promising strategy for future applications in artificial visual systems.

Original languageEnglish
Article number2306945
JournalAdvanced Functional Materials
Volume34
Issue number1
DOIs
Publication statusPublished - 2 Jan 2024
Externally publishedYes

Keywords

  • CuInPS neuromorphic computing
  • artificial visual systems
  • optoelectronic synapses

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