- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Enabling deeper learning on big data for materials informatics applications ; volume:11 ; number:1 ; day:19 ; month:2 ; year:2021 ; pages:1-12 ; date:12.2021
Scientific reports ; 11, Heft 1 (19.2.2021), 1-12, 12.2021
- Urheber
-
Jha, Dipendra
Gupta, Vishu
Ward, Logan
Yang, Zijiang
Wolverton, Christopher
Foster, Ian
Liao, Wei-keng
Choudhary, Alok
Agrawal, Ankit
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-021-83193-1
- URN
-
urn:nbn:de:101:1-2021040422083540089900
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Beteiligte
- Jha, Dipendra
- Gupta, Vishu
- Ward, Logan
- Yang, Zijiang
- Wolverton, Christopher
- Foster, Ian
- Liao, Wei-keng
- Choudhary, Alok
- Agrawal, Ankit
- SpringerLink (Online service)
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