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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Hong Kong Polytech Univ Dept Appl Phys Hung Hom Kowloon Hong Kong 999077 Peoples R China Sichuan Normal Univ Coll Chem & Mat Sci Chengdu 610066 Peoples R China
出 版 物:《ADVANCED FUNCTIONAL MATERIALS》 (实用新材料)
年 卷 期:2022年第32卷第6期
页 面:2108014-2108014页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0703[理学-化学] 0702[理学-物理学]
基 金:Research Grants Council of Hong Kong (GRF) [PolyU 153033/17P] PolyU Postdoctoral Fellowships Scheme [YW4N] National Natural Science Foundation of China Sichuan Youth Science and Technology Foundation [2019JDJQ0052]
主 题:artificial visual systems ferroelectric 2D materials logic functions memory optoelectronic synapses van der Waals heterostructures
摘 要:The development of optoelectronic synapses can provide an important breakthrough toward creating a sophisticated and adaptable artificial visual system analogous to that of humans. However, it remains a great challenge to implement the various functions of the biological visual neuromorphic system at the single device level. Intriguingly, 2D van der Waals (vdW) heterostructure may offer a platform to address the issue. Here, a novel multifunctional synaptic device based on ferroelectric alpha-In2Se3/GaSe vdW heterojunction is proposed to emulate the entire biological visual system. Essential synaptic behaviors are observed in response to light and electrical stimuli;additionally, the retina-like selectivity for light wavelengths and the achievement of Pavlov s dog experiment demonstrate the device s capacity for processing complex electrical and optical inputs. Beyond the optoelectronic synaptic behaviors, the device incorporates memory and logic functions analogous to those in the brain s visual cortex. The results of artificial neural network simulations show that the vdW heterojunction-based device is completely capable of performing logic operations and recognizing images with a high degree of accuracy. The study indicates that versatile devices with a rationally designed construction have great potential for efficiently processing complex visual information and may simplify the design of artificial visual systems.