Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects

Ji Yuan Wang; Bo Wen Xue; Xiao Min Pan

doi:10.1109/ACES-China56081.2022.10065250

Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects

Ji Yuan Wang^*, Bo Wen Xue, Xiao Min Pan^*

^*Corresponding author for this work

School of Cyberspace Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The generalized minimal residual (GMRES) is accelerated by the deep learning (DL) netwowrk to solve electromagnetic scattering problems. Numerical results show that the DL accelerated GMRES outperforms the traditional GMRES in terms of computational speed under the comparable accuracy.

Original language	English
Title of host publication	2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665452366
DOIs	https://doi.org/10.1109/ACES-China56081.2022.10065250
Publication status	Published - 2022
Event	2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022 - Xuzhou, China Duration: 9 Dec 2022 → 12 Dec 2022

Publication series

Name	2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

Conference

Conference	2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022
Country/Territory	China
City	Xuzhou
Period	9/12/22 → 12/12/22

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10.1109/ACES-China56081.2022.10065250

Cite this

Wang, J. Y., Xue, B. W., & Pan, X. M. (2022). Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects. In 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022 (2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACES-China56081.2022.10065250

Wang, Ji Yuan ; Xue, Bo Wen ; Pan, Xiao Min. / Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects. 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022).

@inproceedings{7c7b38d09a8047fc9d37f93892973515,

title = "Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects",

abstract = "The generalized minimal residual (GMRES) is accelerated by the deep learning (DL) netwowrk to solve electromagnetic scattering problems. Numerical results show that the DL accelerated GMRES outperforms the traditional GMRES in terms of computational speed under the comparable accuracy.",

author = "Wang, {Ji Yuan} and Xue, {Bo Wen} 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-China56081.2022.10065250",

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",

}

Wang, JY, Xue, BW & Pan, XM 2022, Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects. in 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022. 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022, Institute of Electrical and Electronics Engineers Inc., 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022, Xuzhou, China, 9/12/22. https://doi.org/10.1109/ACES-China56081.2022.10065250

Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects. / Wang, Ji Yuan; Xue, Bo Wen; Pan, Xiao Min.
2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects

AU - Wang, Ji Yuan

AU - Xue, Bo Wen

AU - Pan, Xiao Min

PY - 2022

Y1 - 2022

N2 - The generalized minimal residual (GMRES) is accelerated by the deep learning (DL) netwowrk to solve electromagnetic scattering problems. Numerical results show that the DL accelerated GMRES outperforms the traditional GMRES in terms of computational speed under the comparable accuracy.

AB - The generalized minimal residual (GMRES) is accelerated by the deep learning (DL) netwowrk to solve electromagnetic scattering problems. Numerical results show that the DL accelerated GMRES outperforms the traditional GMRES in terms of computational speed under the comparable accuracy.

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U2 - 10.1109/ACES-China56081.2022.10065250

DO - 10.1109/ACES-China56081.2022.10065250

M3 - Conference contribution

AN - SCOPUS:85151519666

T3 - 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

BT - 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

Y2 - 9 December 2022 through 12 December 2022

ER -

Wang JY, Xue BW, Pan XM. Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects. In 2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022). doi: 10.1109/ACES-China56081.2022.10065250

Deep Learning Accelerated GMRES Solution of Electromagnetic Scattering From Dielectric Objects

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