Machine learning the deuteron: new architectures and uncertainty quantification
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Machine learning the deuteron: new architectures and uncertainty quantification ; volume:139 ; number:2 ; day:25 ; month:2 ; year:2024 ; pages:1-13 ; date:2.2024
The European physical journal / Plus. Plus ; 139, Heft 2 (25.2.2024), 1-13, 2.2024
- Urheber
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Rozalén Sarmiento, J.
Keeble, J. W. T.
Rios, A.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1140/epjp/s13360-024-04983-w
- URN
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urn:nbn:de:101:1-2405021304519.352946922668
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
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Beteiligte
- Rozalén Sarmiento, J.
- Keeble, J. W. T.
- Rios, A.
- SpringerLink (Online service)
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