Machine Learning-Based Hardness Prediction of High-Entropy Alloys for Laser Additive Manufacturing
- 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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Machine Learning-Based Hardness Prediction of High-Entropy Alloys for Laser Additive Manufacturing ; volume:75 ; number:12 ; day:26 ; month:10 ; year:2023 ; pages:5537-5548 ; date:12.2023
JOM ; 75, Heft 12 (26.10.2023), 5537-5548, 12.2023
- Urheber
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Zhu, Wenhan
Huo, Wenyi
Wang, Shiqi
Kurpaska, Łukasz
Fang, Feng
Papanikolaou, Stefanos
Kim, Hyoung Seop
Jiang, Jianqing
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s11837-023-06174-x
- URN
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urn:nbn:de:101:1-2024021511025183444834
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:37 MESZ
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Beteiligte
- Zhu, Wenhan
- Huo, Wenyi
- Wang, Shiqi
- Kurpaska, Łukasz
- Fang, Feng
- Papanikolaou, Stefanos
- Kim, Hyoung Seop
- Jiang, Jianqing
- SpringerLink (Online service)
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