Neural Network Interface Condition Approximation in a Domain Decomposition Method Applied to Maxwell’s Equations

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Original languageEnglish
Title of host publicationDomain Decomposition Methods in Science and Engineering XXVII
EditorsZdenek Dostal, Tomas Kozubek, Axel Klawonn, Luca F. Pavarino, Olof B. Widlund, Ulrich Langer, Jakub Sístek
PublisherSpringer Science and Business Media Deutschland GmbH
Pages271-278
Number of pages8
ISBN (electronic)978-3-031-50769-4
ISBN (print)9783031507687
Publication statusPublished - 23 Jan 2024
Event27th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2022 - Prague, Czech Republic
Duration: 25 Jul 202229 Jul 2022

Publication series

NameLecture Notes in Computational Science and Engineering
Volume149
ISSN (Print)1439-7358
ISSN (electronic)2197-7100

Abstract

The time-harmonic Maxwell equations are of great interest in current research fields, e.g., [7, 8, 10, 14, 16].

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Cite this

Neural Network Interface Condition Approximation in a Domain Decomposition Method Applied to Maxwell’s Equations. / Knoke, Tobias; Kinnewig, Sebastian; Beuchler, Sven et al.
Domain Decomposition Methods in Science and Engineering XXVII. ed. / Zdenek Dostal; Tomas Kozubek; Axel Klawonn; Luca F. Pavarino; Olof B. Widlund; Ulrich Langer; Jakub Sístek. Springer Science and Business Media Deutschland GmbH, 2024. p. 271-278 (Lecture Notes in Computational Science and Engineering; Vol. 149).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Knoke, T, Kinnewig, S, Beuchler, S & Wick, T 2024, Neural Network Interface Condition Approximation in a Domain Decomposition Method Applied to Maxwell’s Equations. in Z Dostal, T Kozubek, A Klawonn, LF Pavarino, OB Widlund, U Langer & J Sístek (eds), Domain Decomposition Methods in Science and Engineering XXVII. Lecture Notes in Computational Science and Engineering, vol. 149, Springer Science and Business Media Deutschland GmbH, pp. 271-278, 27th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2022, Prague, Czech Republic, 25 Jul 2022. https://doi.org/10.1007/978-3-031-50769-4_32
Knoke, T., Kinnewig, S., Beuchler, S., & Wick, T. (2024). Neural Network Interface Condition Approximation in a Domain Decomposition Method Applied to Maxwell’s Equations. In Z. Dostal, T. Kozubek, A. Klawonn, L. F. Pavarino, O. B. Widlund, U. Langer, & J. Sístek (Eds.), Domain Decomposition Methods in Science and Engineering XXVII (pp. 271-278). (Lecture Notes in Computational Science and Engineering; Vol. 149). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-50769-4_32
Knoke T, Kinnewig S, Beuchler S, Wick T. Neural Network Interface Condition Approximation in a Domain Decomposition Method Applied to Maxwell’s Equations. In Dostal Z, Kozubek T, Klawonn A, Pavarino LF, Widlund OB, Langer U, Sístek J, editors, Domain Decomposition Methods in Science and Engineering XXVII. Springer Science and Business Media Deutschland GmbH. 2024. p. 271-278. (Lecture Notes in Computational Science and Engineering). doi: 10.1007/978-3-031-50769-4_32
Knoke, Tobias ; Kinnewig, Sebastian ; Beuchler, Sven et al. / Neural Network Interface Condition Approximation in a Domain Decomposition Method Applied to Maxwell’s Equations. Domain Decomposition Methods in Science and Engineering XXVII. editor / Zdenek Dostal ; Tomas Kozubek ; Axel Klawonn ; Luca F. Pavarino ; Olof B. Widlund ; Ulrich Langer ; Jakub Sístek. Springer Science and Business Media Deutschland GmbH, 2024. pp. 271-278 (Lecture Notes in Computational Science and Engineering).
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