Graphene/MoS<sub>2−x</sub>O<sub>x</sub>/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing

Xiao Fu; Tangxin Li; Bin Cai; Jinshui Miao; Gennady N. Panin; Xinyu Ma; Jinjin Wang; Xiaoyong Jiang; Qing Li; Yi Dong; Chunhui Hao; Juyi Sun; Hangyu Xu; Qixiao Zhao; Mengjia Xia; Bo Song; Fansheng Chen; Xiaoshuang Chen; Wei Lu; Weida Hu

doi:10.1038/s41377-023-01079-5

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Graphene/MoS_2−xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing

Original Articles

- Graphene/MoS_2−xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing
- Light: Science & Applications Vol. 12, Issue 2, Pages: 284-293(2023)
- Affiliations：
  
  1.School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
  2.State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China
  3.University of Chinese Academy of Sciences, 100049, Beijing, China
  4.Institute of Intelligent Machines, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China
  5.Jianghuai Frontier Technology Coordination and Innovation Center, Hefei, 230088, China
  6.Institute of Microelectronics Technology and High-Purity Materials, Russian Academy of Sciences, Chernogolovka, Moscow district, 142432, Russia
- Author bio：
  
  Jinshui Miao (jsmiao@mail.sitp.ac.cn)
  Bo Song (songbo@iim.ac.cn)
  Weida Hu (wdhu@mail.sitp.ac.cn)
- Funds：
- DOI：10.1038/s41377-023-01079-5
  CLC：
- Published：28 February 2023，
  
  Published Online：7 February 2023，
  
  Received：15 November 2022，
  
  Revised：6 January 2023，
  
  Accepted：13 January 2023
Scan for full text
Fu, X. et al. Graphene/MoS_2−xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing. Light: Science & Applications, 12, 284-293 (2023).
DOI：

Fu, X. et al. Graphene/MoS_2−xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing. Light: Science & Applications, 12, 284-293 (2023). DOI： 10.1038/s41377-023-01079-5.

摘要

Abstract

Conventional artificial intelligence (AI) machine vision technology

based on the von Neumann architecture

uses separate sensing

computing

and storage units to process huge amounts of vision data generated in sensory terminals. The frequent movement of redundant data between sensors

processors and memory

however

results in high-power consumption and latency. A more efficient approach is to offload some of the memory and computational tasks to sensor elements that can perceive and process the optical signal simultaneously. Here

we proposed a non-volatile photomemristor

in which the reconfigurable responsivity can be modulated by the charge and/or photon flux through it and further stored in the device. The non-volatile photomemristor has a simple two-terminal architecture

in which photoexcited carriers and oxygen-related ions are coupled

leading to a displaced and pinched hysteresis in the current-voltage characteristics. For the first time

non-volatile photomemristors implement computationally complete logic with photoresponse-stateful operations

for which the same photomemristor serves as both a logic gate and memory

using photoresponse as a physical state variable instead of light

voltage and memresistance. The polarity reversal of photomemristors shows great potential for in-memory sensing and computing with feature extraction and image recognition for neuromorphic vision.

关键词

Keywords

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Graphene/MoS2−xOx/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing

DOI：10.1038/s41377-023-01079-5

摘要

Abstract

关键词

Keywords

references

Graphene/MoS_2−xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing