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An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials

; ; ; ; ; ;

In
npj computational materials 9, Seiten/Artikel-Nr.:37

ImpressumLondon : Nature Publ. Group

Umfang[1]-10

ISSN2057-3960

Online
DOI: 10.1038/s41524-023-00991-z

DOI: 10.18154/RWTH-2023-03498
URL: https://publications.rwth-aachen.de/record/955465/files/955465.pdf

Einrichtungen

  1. Lehrstuhl für Werkstoffmechanik (525510)
  2. Fachgruppe Materialwissenschaft und Werkstofftechnik (520000)


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85150303684
WOS Core Collection: WOS:000948568100001

Interne Identnummern
RWTH-2023-03498
Datensatz-ID: 955465

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO


Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 10 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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525510
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 Record created 2023-04-03, last modified 2025-10-28


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