@inproceedings{72799f60dbed49ec90790258be33e423,
title = "U-Net Conjugate Gradient Solution of Electromagnetic Scattering from Dielectric Objects",
abstract = "A deep learning-based method is developed to solve electromagnetic scattering problems, where the U-Net is combined with the conjugate gradient method (U-Net-CG). Numerical results show that the U-Net-CG outperforms the traditional CG in terms of computational speed under the comparable accuracy.",
author = "Xue, {Bo Wen} and DI Wu and Song, {Bo Yue} and Rui Guo and Pan, {Xiao Min} and Li, {Mao Kun} and Sheng, {Xin Qing}",
note = "Publisher Copyright: {\textcopyright} 2021 Applied Computational Electromagnetics Society (ACES).; 4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021 ; Conference date: 28-07-2021 Through 31-07-2021",
year = "2021",
month = jul,
day = "28",
doi = "10.23919/ACES-China52398.2021.9581406",
language = "English",
series = "2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings",
address = "United States",
}