- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2057-3960
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Predicting interfacial thermal resistance by machine learning ; volume:5 ; number:1 ; day:3 ; month:5 ; year:2019 ; pages:1-8 ; date:12.2019
npj computational materials ; 5, Heft 1 (3.5.2019), 1-8, 12.2019
- Urheber
-
Wu, Yen-Ju
Fang, Lei
Xu, Yibin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-019-0193-0
- URN
-
urn:nbn:de:101:1-2019070509105747768804
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Wu, Yen-Ju
- Fang, Lei
- Xu, Yibin
- SpringerLink (Online service)
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