Xie Dingdong, Yin Kai, Yang Zhong-Jian, Huang Han, Li Xiaohui, Shu Zhiwen, Duan Huigao, He Jun, Jiang Jie
Hunan Key Laboratory of Nanophotonics and Devices, School of Physics and Electronics, Central South University, 932 South Lushan Road, Changsha, Hunan 410083, P. R. China.
School of Physics and Information Technology, Shanxi Normal University, Xi'an 710119, P. R. China.
Mater Horiz. 2022 May 10;9(5):1448-1459. doi: 10.1039/d1mh02036f.
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 ReS 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.
极化是自然界中一种常见且独特的现象，它揭示了物体更多的伪装特征。然而，基于传统物理架构的当前极化感知设备由于传统的冯·诺依曼瓶颈，在高性能计算上面临巨大挑战。在这项工作中，基于二维ReS光电晶体管提出了一种具有可重构各向异性视觉的新型极化感知神经晶体管。由于其直接带隙半导体特性和强各向异性晶体结构，该器件分别表现出优异的光电探测能力和卓越的极化灵敏度。成功实现了引人入胜的极化敏感神经形态行为，如极化记忆巩固和可重构视觉成像。特别是，通过我们的人工复眼成功模拟了调节后的极化响应率和二向色比。更重要的是，还通过实验展示了两种具有可重构自适应学习能力的用于极化导航的有趣极化感知应用以及三维视觉极化成像。所提出的器件可能为未来智能人形机器人和自动驾驶车辆中的极化感知系统提供一个有前景的机会。
