@inproceedings{d5c9947c63c444239ef5d9527d4be2fb,
title = "Physics-Informed Neural Networks For the Solution of Electromagnetic Scattering by Integral Equations",
abstract = "The physics-informed neural network approach is applied to the integral equation to solve 2D electromagnetic scattering problems. Numerical results indicate that the integral equation can be accurately solved by a simple FCN with the PINN.",
author = "Zhang, \{Jun Bo\} and Yu, \{Da Miao\} and Pan, \{Xiao Min\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022 ; Conference date: 09-12-2022 Through 12-12-2022",
year = "2022",
doi = "10.1109/ACES-China56081.2022.10065316",
language = "English",
series = "2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022",
address = "United States",
}