Near-infrared optoelectronic synapses based on a Te/α-In2Se3 heterojunction for neuromorphic computing

被引:6
作者
Yan, Tao [1 ,2 ]
Cai, Yuchen [1 ,3 ]
Wang, Yanrong [1 ,3 ]
Yang, Jia [1 ,3 ]
Li, Shuhui [1 ,3 ]
Zhan, Xueying [1 ,3 ]
Wang, Fengmei [1 ,3 ]
Cheng, Ruiqing [4 ]
Wang, Feng [1 ,3 ]
He, Jun [4 ]
Wang, Zhenxing [1 ,3 ]
机构
[1] Natl Ctr Nanosci & Technol, CAS Key Lab Nanosyst & Hierarch Fabricat, Beijing 100190, Peoples R China
[2] Beijing Univ Chem Technol, Key Lab Carbon Fiber & Funct Polymers, Minist Educ, Beijing 100029, Peoples R China
[3] Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China
[4] Wuhan Univ, Sch Phys & Technol, Key Lab Artificial Micro & Nanostruct, Minist Educ, Wuhan 430072, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
near infrared; phototransistor; two-dimensional ferroelectric semiconductor; artificial neural networks; optoelectronic synapses; FIELD-EFFECT TRANSISTORS; P-N-JUNCTIONS; MEMORY; FUTURE; IMAGE;
D O I
10.1007/s11432-022-3695-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Neuromorphic computing based on artificial optoelectronic synapses has attracted considerable attention owing to its high time/power efficiency and parallel processing capability. However, existing devices are mainly suitable for only the visible range. Here, high-performance near-infrared optoelectronic memories and synapses were demonstrated using Te/alpha-In2Se3 heterostructures. Owing to the entangled ferroelectricity-semiconducting properties of alpha-In2Se3, whose ferroelectric polarizations can be switched by photocarriers that migrated from the Te near-infrared light absorber, the device could be set into a non-volatile high-resistance/low-resistance state through the application of positive gate voltages/near-infrared light pulses. Hence, the device could function as a high-performance photodetector, with a photoresponsive on/off ratio of 5.25 x 10(4)/8.3 x 10(3) and a specific detectivity of 2.6 x 10(11)/7.5 x 10(10) Jones at 1550/1940 nm. In addition, the device could function as a multi-state optoelectronic synapse with good stability and high linearity; moreover, using the device, we developed an optoelectronic artificial neural network with high recognition accuracies of 100% and 89.9% for a database composed of 64-pixel letters with 10% and 70% noise levels, respectively. Our work provides a feasible avenue for developing neuromorphic networks applicable in the infrared range.
引用
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页数:10
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