- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2057-3960
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Predicting glass structure by physics-informed machine learning ; volume:8 ; number:1 ; day:9 ; month:9 ; year:2022 ; pages:1-9 ; date:12.2022
npj computational materials ; 8, Heft 1 (9.9.2022), 1-9, 12.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-022-00882-9
- URN
-
urn:nbn:de:101:1-2022120410154299033160
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:35 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Bødker, Mikkel L.
- Bauchy, Mathieu
- Du, Tao
- Mauro, John C.
- Smedskjaer, Morten M.
- SpringerLink (Online service)
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