The Electrostatic Gap: Combining Electrostatic Models with Machine Learning Potentials
- Alternative title
-
Der elektrostatische Gap: Ein Ansatz zur Kombination von elektrostatischen Modellen mit Machine-Learning Potentialen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2022
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2022
- Creator
-
Staacke, Carsten Gerald
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20221014-1686331-1-1
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Staacke, Carsten Gerald
- Reuter, Karsten Ulrich
- Rupp, Jennifer
- Deringer, Volker
- Universitätsbibliothek der TU München
Time of origin
- 2022
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