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Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship

; ; ; ; ;

Online
DOI: 10.48550/ARXIV.2005.06615


Einrichtungen

  1. Lehr- und Forschungsgebiet Mathematik (114620)
  2. Lehrstuhl für Werkstoffanwendungen im Maschinenbau (418110)
  3. Fachgruppe Mathematik (110000)


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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2005.06615

Interne Identnummern
RWTH-2021-01515
Datensatz-ID: 811907

Beteiligte Länder
Germany

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;
Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship
Mechanics of materials 151, 103625 () [10.1016/j.mechmat.2020.103625]  GO BibTeX | EndNote: XML, Text | RIS

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The record appears in these collections:
Document types > Other document types > Preprints
Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Mathematics
Faculty of Mechanical Engineering (Fac.4)
Documents in print
Public records
110000
114620
418110
 Record created 2021-02-05, last modified 2025-12-16
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