Analyzing machine learning models to accelerate generation of fundamental materials insights
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2057-3960
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Analyzing machine learning models to accelerate generation of fundamental materials insights ; volume:5 ; number:1 ; day:8 ; month:3 ; year:2019 ; pages:1-9 ; date:12.2019
npj computational materials ; 5, Heft 1 (8.3.2019), 1-9, 12.2019
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Umehara, Mitsutaro
Stein, Helge S.
Guevarra, Dan
Newhouse, Paul F.
Boyd, David A.
Gregoire, John M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-019-0172-5
- URN
-
urn:nbn:de:101:1-2019033000412084937889
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:51 MESZ
Datenpartner
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Beteiligte
- Umehara, Mitsutaro
- Stein, Helge S.
- Guevarra, Dan
- Newhouse, Paul F.
- Boyd, David A.
- Gregoire, John M.
- SpringerLink (Online service)
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