Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Kim, Seonghwan
Lee, Byung Do
Cho, Min Young
Pyo, Myoungho
Lee, Young-Kook
Park, Woon Bae
Sohn, Kee-Sun

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41524-024-01402-7

URN: urn:nbn:de:101:1-2411232101214.395691838304

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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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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Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds

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