Polarization-perceptual anisotropic two-dimensional ReS2 neuro-transistor with reconfigurable neuromorphic vision

被引:53
|
作者
Xie, Dingdong [1 ]
Yin, Kai [1 ]
Yang, Zhong-Jian [1 ]
Huang, Han [1 ]
Li, Xiaohui [2 ]
Shu, Zhiwen [3 ]
Duan, Huigao [3 ]
He, Jun [1 ]
Jiang, Jie [1 ]
机构
[1] Cent South Univ, Sch Phys & Elect, Hunan Key Lab Nanophoton & Devices, 932 South Lushan Rd, Changsha 410083, Hunan, Peoples R China
[2] Shanxi Normal Univ, Sch Phys & Informat Technol, Xian 710119, Peoples R China
[3] Hunan Univ, Coll Mech & Vehicle Engn, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China
基金
中国国家自然科学基金;
关键词
TIMING-DEPENDENT PLASTICITY; SYNAPSE; IMPLEMENTATION; FREQUENCY;
D O I
10.1039/d1mh02036f
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Polarization is a common and unique phenomenon in nature, which reveals more camouflage features of objects. However, current polarization-perceptual devices based on conventional physical architectures face enormous challenges for high-performance computation due to the traditional von Neumann bottleneck. In this work, a novel polarization-perceptual neuro-transistor with reconfigurable anisotropic vision is proposed based on a two-dimensional ReS2 phototransistor. The device exhibits excellent photodetection ability and superior polarization sensitivity due to its direct band gap semiconductor property and strong anisotropic crystal structure, respectively. The fascinating polarization-sensitive neuromorphic behavior, such as polarization memory consolidation and reconfigurable visual imaging, are successfully realized. In particular, the regulated polarization responsivity and dichroic ratio are successfully emulated through our artificial compound eyes. More importantly, two intriguing polarization-perceptual applications for polarized navigation with reconfigurable adaptive learning abilities and three-dimensional visual polarization imaging are also experimentally demonstrated. The proposed device may provide a promising opportunity for future polarization perception systems in intelligent humanoid robots and autonomous vehicles.
引用
收藏
页码:1448 / 1459
页数:12
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