U-Net Conjugate Gradient Solution of Electromagnetic Scattering from Dielectric Objects

Bo Wen Xue, DI Wu, Bo Yue Song, Rui Guo, Xiao Min Pan, Mao Kun Li, Xin Qing Sheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781733509619
DOIs
Publication statusPublished - 28 Jul 2021
Event4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021 - Chengdu, China
Duration: 28 Jul 202131 Jul 2021

Publication series

Name2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings

Conference

Conference4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021
Country/TerritoryChina
CityChengdu
Period28/07/2131/07/21

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