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Optimized Design of Thick Holography Based on Deep Learning and Fourier Modal Method

  • Nanxing Chen*
  • , Yubin Cao
  • , Jiandong Meng
  • , Jianyi Li
  • , Qingbo Yang
  • , Kairui Cao
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • CSCN
  • Zhongxing Telecommunication Equipment Corporation

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper introduces a deep neural network architecture, which is inspired by the Fourier modal method, facilitating layered iterative processing of thick holography to achieve high diffraction efficiency.

Original languageEnglish
StatePublished - 2024
Event2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress - Toulouse, France
Duration: 15 Jul 202419 Jul 2024

Conference

Conference2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress
Country/TerritoryFrance
CityToulouse
Period15/07/2419/07/24

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