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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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OriginalspracheEnglisch
Titel des SammelwerksDomain Decomposition Methods in Science and Engineering XXVII
Herausgeber/-innenZdenek Dostal, Tomas Kozubek, Axel Klawonn, Luca F. Pavarino, Olof B. Widlund, Ulrich Langer, Jakub Sístek
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten271-278
Seitenumfang8
ISBN (elektronisch)978-3-031-50769-4
ISBN (Print)9783031507687
PublikationsstatusVeröffentlicht - 23 Jan. 2024
Veranstaltung27th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2022 - Prague, Tschechische Republik
Dauer: 25 Juli 202229 Juli 2022

Publikationsreihe

NameLecture Notes in Computational Science and Engineering
Band149
ISSN (Print)1439-7358
ISSN (elektronisch)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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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. Hrsg. / Zdenek Dostal; Tomas Kozubek; Axel Klawonn; Luca F. Pavarino; Olof B. Widlund; Ulrich Langer; Jakub Sístek. Springer Science and Business Media Deutschland GmbH, 2024. S. 271-278 (Lecture Notes in Computational Science and Engineering; Band 149).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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 (Hrsg.), Domain Decomposition Methods in Science and Engineering XXVII. Lecture Notes in Computational Science and Engineering, Bd. 149, Springer Science and Business Media Deutschland GmbH, S. 271-278, 27th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2022, Prague, Tschechische Republik, 25 Juli 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 (Hrsg.), Domain Decomposition Methods in Science and Engineering XXVII (S. 271-278). (Lecture Notes in Computational Science and Engineering; Band 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, Hrsg., Domain Decomposition Methods in Science and Engineering XXVII. Springer Science and Business Media Deutschland GmbH. 2024. S. 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. Hrsg. / Zdenek Dostal ; Tomas Kozubek ; Axel Klawonn ; Luca F. Pavarino ; Olof B. Widlund ; Ulrich Langer ; Jakub Sístek. Springer Science and Business Media Deutschland GmbH, 2024. S. 271-278 (Lecture Notes in Computational Science and Engineering).
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