Materials fatigue prediction using graph neural networks on microstructure representations
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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Materials fatigue prediction using graph neural networks on microstructure representations ; volume:13 ; number:1 ; day:2 ; month:8 ; year:2023 ; pages:1-16 ; date:12.2023
Scientific reports ; 13, Heft 1 (2.8.2023), 1-16, 12.2023
- Klassifikation
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Ingenieurwissenschaften und Maschinenbau
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-39400-2
- URN
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urn:nbn:de:101:1-2023110608011271059370
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:46 MESZ
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Beteiligte
- Thomas, Akhil
- Durmaz, Ali Riza
- Alam, Mehwish
- Gumbsch, Peter
- Sack, Harald
- Eberl, Christoph
- SpringerLink (Online service)
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