Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Science Advances (10:14) - Washington, DC [u.a.] : American Association for the Advancement of Science - Art.-Id. eadn4397
- Event
-
Veröffentlichung
- (where)
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Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2024
- Creator
-
Unke, Oliver T.
Stöhr, Martin
Ganscha, Stefan
Unterthiner, Thomas
Maennel, Hartmut
Kashubin, Sergii
Ahlin, Daniel
Gastegger, Michael
Medrano Sandonas, Leonardo
Berryman, Joshua T.
Tkatchenko, Alexandre
Müller, Klaus-Robert
- DOI
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10.14279/depositonce-20479
- Handle
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11303/21678
- URN
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urn:nbn:de:101:1-2405150159289.095439748671
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:50 PM CET
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
- Unke, Oliver T.
- Stöhr, Martin
- Ganscha, Stefan
- Unterthiner, Thomas
- Maennel, Hartmut
- Kashubin, Sergii
- Ahlin, Daniel
- Gastegger, Michael
- Medrano Sandonas, Leonardo
- Berryman, Joshua T.
- Tkatchenko, Alexandre
- Müller, Klaus-Robert
- Technische Universität Berlin
Time of origin
- 2024
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