Robust combined modeling of crystalline and amorphous silicon grain boundary conductance by machine learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2057-3960
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
Robust combined modeling of crystalline and amorphous silicon grain boundary conductance by machine learning ; volume:8 ; number:1 ; day:25 ; month:10 ; year:2022 ; pages:1-8 ; date:12.2022
npj computational materials ; 8, Heft 1 (25.10.2022), 1-8, 12.2022
- Creator
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Lortaraprasert, Chayaphol
Shiomi, Junichiro
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1038/s41524-022-00898-1
- URN
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urn:nbn:de:101:1-2023011021102050022641
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lortaraprasert, Chayaphol
- Shiomi, Junichiro
- SpringerLink (Online service)
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