First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials

zu Verbundenen Objekten

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
In: Mortazavi, B.; Silani, M.; Podryabinkin, E.V.; Rabczuk, T.; Zhuang, X. et al.: First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials. In: Advanced Materials 33 (2021), Nr. 35, 2102807. DOI: https://doi.org/10.1002/adma.202102807

Klassifikation
Chemie
Technische Chemie

Ereignis
Veröffentlichung
(wo)
Hannover
(wer)
Gottfried Wilhelm Leibniz Universität Hannover
(wann)
2021
Ereignis
Veröffentlichung
(wo)
Hannover
(wer)
Technische Informationsbibliothek (TIB)
(wann)
2021
Urheber
Mortazavi, Bohayra
Silani, Mohammad
Podryabinkin, Evgeny V.
Rabczuk, Timon
Zhuang, Xiaoying
Shapeev, Alexander V.

DOI
10.15488/14241
URN
urn:nbn:de:101:1-2023080302141691350481
Rechteinformation
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:52 MEZ

Datenpartner

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Beteiligte

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

Entstanden

  • 2021

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