Prediction of transition state structures of gas-phase chemical reactions via machine learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Prediction of transition state structures of gas-phase chemical reactions via machine learning ; volume:14 ; number:1 ; day:1 ; month:3 ; year:2023 ; pages:1-11 ; date:12.2023
Nature Communications ; 14, Heft 1 (1.3.2023), 1-11, 12.2023
- Creator
-
Choi, Sunghwan
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-023-36823-3
- URN
-
urn:nbn:de:101:1-2023121109430896254941
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Choi, Sunghwan
- SpringerLink (Online service)