Crystal twins: self-supervised learning for crystalline material property prediction
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2057-3960
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Crystal twins: self-supervised learning for crystalline material property prediction ; volume:8 ; number:1 ; day:10 ; month:11 ; year:2022 ; pages:1-8 ; date:12.2022
npj computational materials ; 8, Heft 1 (10.11.2022), 1-8, 12.2022
- Urheber
-
Magar, Rishikesh
Wang, Yuyang
Barati Farimani, Amir
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41524-022-00921-5
- URN
-
urn:nbn:de:101:1-2023012422512997208779
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:26 MESZ
Datenpartner
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Beteiligte
- Magar, Rishikesh
- Wang, Yuyang
- Barati Farimani, Amir
- SpringerLink (Online service)
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