Mechanistic insight on water dissociation on pristine low-index TiO2 surfaces from machine learning molecular dynamics simulations
- 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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Mechanistic insight on water dissociation on pristine low-index TiO2 surfaces from machine learning molecular dynamics simulations ; volume:14 ; number:1 ; day:2 ; month:10 ; year:2023 ; pages:1-9 ; date:12.2023
Nature Communications ; 14, Heft 1 (2.10.2023), 1-9, 12.2023
- Urheber
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Zeng, Zezhu
Wodaczek, Felix
Liu, Keyang
Stein, Frederick
Hutter, Jürg
Chen, Ji
Cheng, Bingqing
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41467-023-41865-8
- URN
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urn:nbn:de:101:1-2024013121072191593792
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:30 MESZ
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Beteiligte
- Zeng, Zezhu
- Wodaczek, Felix
- Liu, Keyang
- Stein, Frederick
- Hutter, Jürg
- Chen, Ji
- Cheng, Bingqing
- SpringerLink (Online service)
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