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High-speed multiwavelength adjoint optimization with surrogate solver

Authors
Seo, JoonhyukKang, ChanikSeo, DongjinChung, Haejun
Issue Date
Sep-2024
Publisher
Optical Society of America
Citation
Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 in Proceedings 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR), pp 1 - 2
Pages
2
Indexed
SCOPUS
Journal Title
Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024 in Proceedings 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)
Start Page
1
End Page
2
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206508
DOI
10.1109/CLEO-PR60912.2024.10676462
ISSN
2997-7053
2997-7037
Abstract
We propose a neural network designed to learn the field simulation across multiple wavelengths. The model shows high accuracy in predicted fields and rapidly performs adjoint optimization for various wavelengths.
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