Development of a Generally Applicable Machine Learning Potential with Accurate Long-Range Electrostatic Interactions

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Göttingen, Georg-August Universität, Dissertation, 2022

Keyword: Dichtefunktionalformalismus
Ab-initio-Rechnung
Molekulardynamik

Event: Veröffentlichung

(where): Göttingen

(who): Niedersächsische Staats- und Universitätsbibliothek Göttingen

(when): 2022

Creator: Ko, Tsz Wai

Contributor: Behler, Jörg
Mata, Ricardo
Marx, Dominik

URN: urn:nbn:de:gbv:7-ediss-14216-7

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:45 AM CEST

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Associated

Ko, Tsz Wai
Behler, Jörg
Mata, Ricardo
Marx, Dominik
Niedersächsische Staats- und Universitätsbibliothek Göttingen

Time of origin

2022

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Development of a Generally Applicable Machine Learning Potential with Accurate Long-Range Electrostatic Interactions

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Time of origin

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