Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Mortazavi, B.; Zhuang, X.; Rabczuk, T.; Shapeev, A.V.: Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials. In: Materials Horizons 10 (2023), Nr. 6, S. 1956-1968. DOI: https://doi.org/10.1039/d3mh00125c

Event: Veröffentlichung

(where): Hannover

(who): Gottfried Wilhelm Leibniz Universität Hannover

(when): 2023

Event: Veröffentlichung

(where): Hannover

(who): Technische Informationsbibliothek (TIB)

(when): 2023

Creator: Mortazavi, Bohayra
Zhuang, Xiaoying
Rabczuk, Timon
Shapeev, Alexander V.

DOI: 10.15488/17694

URN: urn:nbn:de:101:1-2407180216433.788201868203

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:58 AM CEST

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Associated

Mortazavi, Bohayra
Zhuang, Xiaoying
Rabczuk, Timon
Shapeev, Alexander V.
Gottfried Wilhelm Leibniz Universität Hannover
Technische Informationsbibliothek (TIB)

Time of origin

2023

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Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials

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