Neural network assisted high-spatial-resolution polarimetry with non-interleaved chiral metasurfaces  

作　　者：Chen Chen Xingjian Xiao Xin Ye Jiacheng Sun Jitao Ji Rongtao Yu Wange Song Shining Zhu Tao Li 

机构地区：[1]Nanjing University,National Laboratory of Solid State Microstructures,Key Laboratory of Intelligent Optical Sensing and Manipulations,Jiangsu Key Laboratory of Artificial Functional Materials,College of Engineering and Applied Sciences,210093 Nanjing,China

出　　处：《Light(Science & Applications)》2023年第12期2732-2741,共10页光（科学与应用)（英文版）

基　　金：The authors acknowledge the funding provided by National Key R&D Program of China(2022YFA1404301);National Natural Science Foundation of China(Nos.62325504,62305149,92250304,62288101);Dengfeng Project B of Nanjing University.The authors acknowledge the micro-fabrication center of the National Laboratory of Solid State Microstructures(NLSSM)for technique support.

摘　　要：Polarimetry plays an indispensable role in modern optics.Nevertheless,the current strategies generally suffer from bulky system volume or spatial multiplexing scheme,resulting in limited performances when dealing with inhomogeneous polarizations.Here,we propose a non-interleaved,interferometric method to analyze the polarizations based on a tri-channel chiral metasurface.A deep convolutional neural network is also incorporated to enable fast,robust and accurate polarimetry.Spatially uniform and nonuniform polarizations are both measured through the metasurface experimentally.Distinction between two semblable glasses is also demonstrated.Our strategy features the merits of compactness and high spatial resolution,and would inspire more intriguing design for detecting and sensing.

关 键 词：CHIRAL RESOLUTION POLAR 

分 类 号：O62[理学—有机化学]