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001     1002421
005     20250522050731.0
024 7 _ |2 ISSN
|a 2837-1739
024 7 _ |2 doi
|a 10.3934/acse.2024007
037 _ _ |a RWTH-2025-00520
041 _ _ |a English
082 _ _ |a 510
100 1 _ |0 P:(DE-82)IDM06387
|a Trávníková, Veronika
|b 0
|e Corresponding author
|u rwth
245 _ _ |a A model hierarchy for predicting the flow in stirred tanks with physics-informed neural networks
|h online
260 _ _ |a Springfield, MO
|b American Institute of Mathematical Sciences
|c 2024
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |0 PUB:(DE-HGF)16
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|a Journal Article
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|m journal
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
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336 7 _ |2 DataCite
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336 7 _ |2 ORCID
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588 _ _ |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de
591 _ _ |a Germany
700 1 _ |0 P:(DE-82)IDM04668
|a Wolff, Daniel
|b 1
|u rwth
700 1 _ |0 P:(DE-82)IDM06370
|a Dirkes, Nico
|b 2
|u rwth
700 1 _ |0 P:(DE-82)IDM00661
|a Elgeti, Stefanie Nicole
|b 3
700 1 _ |0 P:(DE-82)IDM03958
|a von Lieres und Wilkau, Eric
|b 4
|u rwth
700 1 _ |0 P:(DE-82)IDM00698
|a Behr, Marek
|b 5
|u rwth
773 _ _ |0 PERI:(DE-600)3155486-6
|a 10.3934/acse.2024007
|n 2
|p 91-129
|t Advances in computational science and engineering
|v 2
|x 2837-1739
|y 2024
856 4 _ |u https://publications.rwth-aachen.de/record/1002421/files/1002421.pdf
|y Restricted
909 C O |o oai:publications.rwth-aachen.de:1002421
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914 1 _ |y 2024
915 1 _ |0 StatID:(DE-HGF)0031
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|x 0
920 1 _ |0 I:(DE-82)416010_20140620
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|l Lehrstuhl für Computergestützte Analyse technischer Systeme
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920 1 _ |0 I:(DE-82)420410_20140620
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