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A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks

Orland, Fabian^RWTH* ; Brose, Kim Sebastian (Corresponding author)^RWTH* ; Bissantz, Julian ; Ferraro, Federica ; Terboven, Christian^RWTH* ; Hasse, Christian

In
Proceedings of AI4S: Artificial intelligence and machine learning for scientific applications : held in conjunction with SC22: the International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, November 13-18, 2022 / IEEE Computer Society, TCHPC, ACM, SIGHPC, Seiten/Artikel-Nr: 7-12

2022 & 2023

Konferenz/Event:International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications , Dallas, TX , USA , AI4S 2022 , 2022-11-13 - 2022-11-18

ImpressumPiscataway, NJ : IEEE

Umfang7-12

ISBN978-1-6654-6207-5, 978-1-6654-6208-2, 978-1-66546-207-5, 978-1-66546-208-2

Date Added to IEEE Xplore: 31 January 2023. - Zweitveröffentlicht auf dem Publikationsserver der RWTH Aachen University 2023

Online
DOI: 10.18154/RWTH-2023-01174
DOI: 10.1109/AI4S56813.2022.00007
10.1109/AI4S56813.2022.00007
URL: https://publications.rwth-aachen.de/record/889635/files/889635.pdf

Einrichtungen

1. Lehrstuhl für Informatik 12 (Hochleistungsrechnen) (123010)
2. IT Center (022000)
3. Fachgruppe Informatik (120000)

OpenAccess:
PDF

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85147902239
WOS Core Collection: WOS:000968741100002

Interne Identnummern
RWTH-2023-01174
Datensatz-ID: 889635

Beteiligte Länder
Germany