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Photonics Research, Volume. 10, Issue 6, 1462(2022)

Neural network-based surrogate model for inverse design of metasurfaces

Guoqing Jing1、†, Peipei Wang1、†, Haisheng Wu1、†, Jianjun Ren1, Zhiqiang Xie1, Junmin Liu2, Huapeng Ye3, Ying Li1, Dianyuan Fan1, and Shuqing Chen1、*
Author Affiliations
  • 1International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology, Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, China
  • 2College of New Materials and New Energies, Shenzhen Technology University, Shenzhen 518118, China
  • 3Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China
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    The article is cited by 15 article(s) from Web of Science.
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    Guoqing Jing, Peipei Wang, Haisheng Wu, Jianjun Ren, Zhiqiang Xie, Junmin Liu, Huapeng Ye, Ying Li, Dianyuan Fan, Shuqing Chen, "Neural network-based surrogate model for inverse design of metasurfaces," Photonics Res. 10, 1462 (2022)

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    Paper Information

    Category: Optical Devices

    Received: Dec. 6, 2021

    Accepted: Apr. 24, 2022

    Published Online: May. 20, 2022

    The Author Email: Shuqing Chen (shuqingchen@szu.edu.cn)

    DOI:10.1364/PRJ.450564

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology