Deep learning approaches for instantaneous laser absorptance prediction in 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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Deep learning approaches for instantaneous laser absorptance prediction in additive manufacturing ; volume:10 ; number:1 ; day:5 ; month:1 ; year:2024 ; pages:1-13 ; date:12.2024
npj computational materials ; 10, Heft 1 (5.1.2024), 1-13, 12.2024
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41524-023-01172-8
- URN
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urn:nbn:de:101:1-2024031821563993043203
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:48 MESZ
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Beteiligte
- Jiang, Runbo
- Smith, John
- Yi, Yu-Tsen
- Sun, Tao
- Simonds, Brian J.
- Rollett, Anthony D.
- SpringerLink (Online service)
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