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Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks

; ;

In
Physics of fluids 37(11), Seiten/Artikel-Nr.:117112

Impressum[Erscheinungsort nicht ermittelbar] : American Institute of Physics

Umfang1-19

ISSN1089-7666

Online
DOI: 10.1063/5.0291054

URL: http://publications.rwth-aachen.de/record/1028130/files/1028130.pdf

Einrichtungen

  1. Lehrstuhl für Computergestützte Analyse technischer Systeme (416010)
  2. Lehrstuhl für Computational Systems Biotechnology (FZ Jülich) (420410)


Thematische Einordnung (Klassifikation)
DDC: 530

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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105021274277
WOS Core Collection: WOS:001612082200003

Interne Identnummern
RWTH-2026-01476
Datensatz-ID: 1028130

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

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Medline ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; National-Konsortium ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mechanical Engineering (Fac.4)
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416010
420410
 Record created 2026-02-06, last modified 2026-03-18
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