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Effects of variational formulations on physics‐informed neural network performance in solid mechanics
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In
Special Issue: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) / Issue Edited by: M. Beitelschmidt, Ch. Böhm, K. Eckert, J. Fröhlich, M. Kästner, S. Löhnert, S. Neukamm, O. Sander, M. Schmidtchen, A. Voigt, J. Waimann, T. Wallmersperger, M. Kaliske
In
Proceedings in applied mathematics and mechanics : PAMM 23(4), Seiten/Artikel-Nr.:e202300222
2023
Online
DOI: 10.1002/pamm.202300222
DOI: 10.18154/RWTH-2024-00303
URL: https://publications.rwth-aachen.de/record/976759/files/976759.pdf
Einrichtungen
Projekte
Thematische Einordnung (Klassifikation)
DDC: 510
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Interne Identnummern
RWTH-2024-00303
Datensatz-ID: 976759
Beteiligte Länder
Germany
Related:
Proceedings
Special Issue: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
93. Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023, DresdenDresden, Germany, 30 May 2023 - 2 Jun 2023
Proceedings in applied mathematics and mechanics : PAMM 23(4), (2023)
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| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Hybrid-OA | 1837.20 | 241.04 | EUR | 100.00 % | (DEAL) | 021000-311810 |
| Sum | 1837.20 | 241.04 | EUR | |||
| Total | 2078.24 |
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