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High‐Performance Memristor Based on 2D Layered BiOI Nanosheet for Low‐Power Artificial Optoelectronic Synapses

Peixian LeiCollege of Chemistry and Materials Science Sichuan Normal University Chengdu 610066 ChinaHuan DuanCollege of Chemistry and Materials Science Sichuan Normal University Chengdu 610066 ChinaLing QinCollege of Chemistry and Materials Science Sichuan Normal University Chengdu 610066 ChinaXianhua WeiKey Laboratory of Environment‐friendly Energy Materials Southwest University of Science and Technology Mianyang 621010 ChinaRui TaoCollege of Materials Science and Engineering Sichuan University Chengdu 610065 ChinaZegao WangCollege of Materials Science and Engineering Sichuan University Chengdu 610065 ChinaFeng GuoDepartment of Applied Physics The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong 999077 ChinaMenglin SongDepartment of Applied Physics The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong 999077 ChinaWenjing JieCollege of Chemistry and Materials Science Sichuan Normal University Chengdu 610066 ChinaJianhua HaoDepartment of Applied Physics The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong 999077 China
2022en
ABI

Аннотация

Abstract Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors have recently been studied for applications in neuromorphic computing and artificial vision systems. However, the combination of visual perception and high‐performance information processing capabilities still faces challenges. In this work, the authors demonstrate a memristor based on 2D bismuth oxyiodide (BiOI) nanosheets that can exhibit bipolar resistive switching (RS) performance as well as electrical and light‐induced synaptic plasticity eminently suitable for low‐power optoelectronic synapses. The fabricated memristor exhibits high‐performance RS behaviors with a high ON/OFF ratio up to 10 5 , an ultralow SET voltage of ≈0.05 V which is one order of magnitude lower than that of most reported memristors based on 2D materials, and low power consumption. Furthermore, the memristor demonstrates not only electrical voltage‐driven long‐term potentiation, depression plasticity, and paired‐pulse facilitation, but also light‐induced short‐ and long‐term plasticity. Moreover, the photonic synapse can be used to simulate the “learning experience” behaviors of human brain. Consequently, not only the memristor based on BiOI nanosheets shows ultra‐low SET voltage and low‐power consumption, but also the optoelectronic synapse provides new material and strategy to construct low‐power retina‐like vision sensors with functions of perceiving and processing information.

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