Zhu Yongxing, Tao Ye, Wang Zhongqiang, Bian Jingyao, Li Zhuangzhuang, Qi Meng, Lin Ya, Zhao Xiaoning, Xu Haiyang, Liu Yichun
State Key Laboratory of Integrated Optoelectronics, Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, Changchun, Jilin 130024, China.
College of Physical Science and Technology, Bohai University, Jinzhou 121000, China.
ACS Nano. 2025 Jul 15;19(27):25480-25489. doi: 10.1021/acsnano.5c08221. Epub 2025 Jun 27.
A polarization-sensitive neuromorphic vision system (PNVS) that synchronously possesses the capacities of polarized light perception and neuromorphic computing enables the detection of potential information or hidden features. While developing a polarization-sensitive optoelectronic memristor presents an intriguing avenue for building the foundational hardware of PNVS, it has proven challenging. In this work, a polarization-sensitive optoelectronic memristor based on the in-plane anisotropic two-dimensional ReSe is proposed. Thanks to the meticulous device structure design, the angle-dependent synaptic plasticity of the device is demonstrated. Further, the image preprocessing and recognition functions are implemented under the circumstances of 0 and 90° polarized light, and the learning accuracy is improved from 81.1 to 86.8 and 90.4%, respectively. To reveal the mining capacity of hidden information, the surface flaw detection application is finally demonstrated through enhancement in the degree of linear polarization (DoLP). This study provides an approach to developing polarization-sensitive neuromorphic devices for future polarization vision systems used in intelligent vehicles and robot vision.
一种同步具备偏振光感知和神经形态计算能力的偏振敏感神经形态视觉系统（PNVS）能够检测潜在信息或隐藏特征。虽然开发一种偏振敏感光电忆阻器为构建PNVS的基础硬件提供了一条引人入胜的途径，但事实证明这具有挑战性。在这项工作中，提出了一种基于面内各向异性二维ReSe的偏振敏感光电忆阻器。得益于精心的器件结构设计，展示了该器件与角度相关的突触可塑性。此外，在0°和90°偏振光的情况下实现了图像预处理和识别功能，学习准确率分别从81.1%提高到了86.8%和90.4%。为了揭示隐藏信息的挖掘能力，最终通过线性偏振度（DoLP）增强展示了表面缺陷检测应用。这项研究为未来用于智能车辆和机器人视觉的偏振视觉系统开发偏振敏感神经形态器件提供了一种方法。
