Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds ; volume:10 ; number:1 ; day:9 ; month:9 ; year:2024 ; pages:1-12 ; date:12.2024
npj computational materials ; 10, Heft 1 (9.9.2024), 1-12, 12.2024
- Urheber
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Kim, Seonghwan
Lee, Byung Do
Cho, Min Young
Pyo, Myoungho
Lee, Young-Kook
Park, Woon Bae
Sohn, Kee-Sun
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41524-024-01402-7
- URN
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urn:nbn:de:101:1-2411232101214.395691838304
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:35 MESZ
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Beteiligte
- Kim, Seonghwan
- Lee, Byung Do
- Cho, Min Young
- Pyo, Myoungho
- Lee, Young-Kook
- Park, Woon Bae
- Sohn, Kee-Sun
- SpringerLink (Online service)
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