@inproceedings{be857bc623fe42a0b7006b4c7bec1674,
title = "Optimized Design of Thick Holography Based on Deep Learning and Fourier Modal Method",
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.",
author = "Nanxing Chen and Yubin Cao and Jiandong Meng and Jianyi Li and Qingbo Yang and Kairui Cao",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s).; Quantum Sensing and Metrology, QSM 2024 - Part of Optica Sensing Congress ; Conference date: 15-07-2024 Through 19-07-2024",
year = "2024",
doi = "10.1364/3d.2024.jd6a.11",
language = "英语",
series = "Quantum Sensing and Metrology, QSM 2024 in Proceedings Optica Sensing Congress 2024, AIS, LACSEA, Sensors, QSM - Part of Optica Sensing Congress",
publisher = "Optical Society of America",
booktitle = "Quantum Sensing and Metrology, QSM 2024 in Proceedings Optica Sensing Congress 2024, AIS, LACSEA, Sensors, QSM - Part of Optica Sensing Congress",
}