自然科学基础研究(英文)2024,Issue(1) :158-166.DOI:10.1016/j.fmre.2022.06.019

Optically driven intelligent computing with ZnO memristor

Jing Yang Lingxiang Hu Liufeng Shen Jingrui Wang Peihong Cheng Huanming Lu Fei Zhuge Zhizhen Ye
自然科学基础研究(英文)2024,Issue(1) :158-166.DOI:10.1016/j.fmre.2022.06.019

Optically driven intelligent computing with ZnO memristor

Jing Yang 1Lingxiang Hu 2Liufeng Shen 1Jingrui Wang 1Peihong Cheng 1Huanming Lu 1Fei Zhuge 3Zhizhen Ye4
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作者信息

  • 1. Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo 315201,China
  • 2. Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo 315201,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100029,China
  • 3. Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo 315201,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100029,China;Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Shanghai 200072,China;Institute of Wenzhou,Zhejiang University,Wenzhou 325006,China
  • 4. Institute of Wenzhou,Zhejiang University,Wenzhou 325006,China;State Key Laboratory of Silicon Materials,School of Materials Science and Engineering,Zhejiang University,Hangzhou 310027,China
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Abstract

Artificial vision is crucial for most artificial intelligence applications.Conventional artificial visual systems have been facing challenges in terms of real-time information processing due to the physical separation of sensors,memories,and processors,which results in the production of a large amount of redundant data as well as the data conversion and transfer between these three components consuming most of the time and energy.Emergent optoelectronic memristors with the ability to realize integrated sensing-computing-memory(ISCM)are key can-didates for solving such challenges and therefore attract increasing attention.At present,the memristive ISCM devices can only perform primary-level computing with external light signals due to the fact that only monotonic increase of memconductance upon light irradiation is achieved in most of these devices.Here,we propose an all-optically controlled memristive ISCM device based on a simple structure of Au/ZnO/Pt with the ZnO thin film sputtered at pure Ar atmosphere.This device can perform advanced computing tasks such as nonvolatile neuromorphic computing and complete Boolean logic functions only by light irradiation,owing to its ability to reversibly tune the memconductance with light.Moreover,the device shows excellent operation stability ascribed to a purely electronic memconductance tuning mechanism.Hence,this study is an important step towards the next generation of artificial visual systems.

Key words

Memristor/All-optically controlling/ZnO thin film/Artificial vision/Nonvolatile neuromorphic computing/Logic-in-memory

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基金项目

国家自然科学基金(U20A20209)

国家自然科学基金(61874125)

中国科学院战略规划重点项目(XDB32050204)

浙江省自然科学基金(LD19E020001)

浙江省自然科学基金(LQ22F040003)

State Key Laboratory of Silicon Materials(SKL2021-03)

出版年

2024
自然科学基础研究(英文)

自然科学基础研究(英文)

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