Prediction of heavy-section ductile iron fracture toughness based on machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Prediction of heavy-section ductile iron fracture toughness based on machine learning ; volume:14 ; number:1 ; day:26 ; month:2 ; year:2024 ; pages:1-20 ; date:12.2024
Scientific reports ; 14, Heft 1 (26.2.2024), 1-20, 12.2024
- Urheber
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Song, Liang
Zhang, Hongcheng
Zhang, Junxing
Guo, Hai
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-55089-3
- URN
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urn:nbn:de:101:1-2405021300114.834843424271
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
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Beteiligte
- Song, Liang
- Zhang, Hongcheng
- Zhang, Junxing
- Guo, Hai
- SpringerLink (Online service)
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