Chinese Optics Letters, Volume. 23, Issue 5, 053603(2025)

High-performance one-shot full-Stokes polarimeters based on long-range disordered metasurfaces and deep learning algorithms Editors' Pick

Liangke Ren1, Jialong Peng2, Shanshan Huang3, Bin Zhang1, Zheqiang Zhong1, Xiu Yang3, Laixi Sun4、*, and Yidong Hou3、**
Author Affiliations
  • 1College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China
  • 2College of Advanced Interdisciplinary Studies & Hunan Provincial Key Laboratory of Novel Nano Optoelectronic Information Materials and Devices, National University of Defense Technology, Changsha 410073, China; Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
  • 3College of Physics, Sichuan University, Chengdu 610065, China
  • 4Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China
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    References(47)

    [4] N. A. Rubin, G. D’Aversa, P. Chevalier et al. Matrix Fourier optics enables a compact full-Stokes polarization camera. Science, 365, eaax1839(2019).

    [45] K. He, X. Zhang, S. Ren et al. Deep residual learning for image recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770(2016).

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    Liangke Ren, Jialong Peng, Shanshan Huang, Bin Zhang, Zheqiang Zhong, Xiu Yang, Laixi Sun, Yidong Hou, "High-performance one-shot full-Stokes polarimeters based on long-range disordered metasurfaces and deep learning algorithms," Chin. Opt. Lett. 23, 053603 (2025)

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    Paper Information

    Category: Nanophotonics, Metamaterials, and Plasmonics

    Received: Oct. 22, 2024

    Accepted: Dec. 9, 2024

    Published Online: Apr. 30, 2025

    The Author Email: Laixi Sun (sunlaixi@126.com), Yidong Hou (houyd@scu.edu.cn)

    DOI:10.3788/COL202523.053603

    CSTR:32184.14.COL202523.053603

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