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Optically driven intelligent computing with ZnO memristor 被引量:2

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摘要 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 candidates 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.
出处 《Fundamental Research》 CAS CSCD 2024年第1期158-166,共9页 自然科学基础研究(英文版)
基金 This work was supported in part by the National Natural Science Foundation of China(U20A20209 and 61874125) the Strategic Priority Research Program of Chinese Academy of Sciences(XDB32050204) the Zhejiang Provincial Natural Science Foundation of China(LD19E020001 and LQ22F040003) the State Key Laboratory of Silicon Materials(SKL2021-03).
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