Efficient machine-learning based interatomic potentialsfor exploring thermal conductivity in two-dimensional materials
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Mortazavi, B.; Podryabinkin, E.V.; Novikov, I.S.; Roche, S.; Rabczuk, T. et al.: Efficient machine-learning based interatomic potentialsfor exploring thermal conductivity in two-dimensional materials. In: JPhys Materials (Journal of Physics: Materials) 3 (2020), Nr. 2, 02LT02. DOI: https://doi.org/10.1088/2515-7639/ab7cbb
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Gottfried Wilhelm Leibniz Universität Hannover
- (when)
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2020
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Technische Informationsbibliothek (TIB)
- (when)
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2020
- Creator
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Mortazavi, Bohayra
Podryabinkin, Evgeny V.
Novikov, Ivan S.
Roche, Stephan
Rabczuk, Timon
Zhuang, Xiaoying
Shapeev, Alexander V.
- DOI
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10.15488/16435
- URN
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urn:nbn:de:101:1-2024022901281370289219
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:59 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
- Mortazavi, Bohayra
- Podryabinkin, Evgeny V.
- Novikov, Ivan S.
- Roche, Stephan
- Rabczuk, Timon
- Zhuang, Xiaoying
- Shapeev, Alexander V.
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2020
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