Leimeroth, Niklas ; Rohrer, Jochen ; Albe, Karsten (2024)
Structure–property relations of silicon oxycarbides studied using a machine learning interatomic potential.
In: Journal of the American Ceramic Society, 107 (10)
doi: 10.1111/jace.19932
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Silicon oxycarbides show outstanding versatility due to their highly tunable composition and microstructure. Consequently, a key challenge is a thorough knowledge of structure–property relations in the system. In this work, we fit an atomic cluster expansion potential to a set of actively learned density-functional theory training data spanning a wide configurational space. We demonstrate the ability of the potential to produce realistic amorphous structures and rationalize the formation of different morphologies of the turbostratic free carbon phase. Finally, we relate the materials stiffness to its composition and microstructure, finding a delicate dependence on Si-C bonds that contradicts commonly assumed relations to the free carbon phase.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2024 |
Autor(en): | Leimeroth, Niklas ; Rohrer, Jochen ; Albe, Karsten |
Art des Eintrags: | Bibliographie |
Titel: | Structure–property relations of silicon oxycarbides studied using a machine learning interatomic potential |
Sprache: | Englisch |
Publikationsjahr: | 6 Mai 2024 |
Verlag: | Wiley |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal of the American Ceramic Society |
Jahrgang/Volume einer Zeitschrift: | 107 |
(Heft-)Nummer: | 10 |
DOI: | 10.1111/jace.19932 |
Zugehörige Links: | |
Kurzbeschreibung (Abstract): | Silicon oxycarbides show outstanding versatility due to their highly tunable composition and microstructure. Consequently, a key challenge is a thorough knowledge of structure–property relations in the system. In this work, we fit an atomic cluster expansion potential to a set of actively learned density-functional theory training data spanning a wide configurational space. We demonstrate the ability of the potential to produce realistic amorphous structures and rationalize the formation of different morphologies of the turbostratic free carbon phase. Finally, we relate the materials stiffness to its composition and microstructure, finding a delicate dependence on Si-C bonds that contradicts commonly assumed relations to the free carbon phase. |
Freie Schlagworte: | atomistic simulation, silicon oxycarbide, structure, Young-s modulus |
Zusätzliche Informationen: | N. L. acknowledges Linus C. Erhard for helpful discussions. N. L. received funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant number 405621137 and from the German Federal Ministry of Education and Research (BMBF) under project HeNa (FKZ 03XP0390A). J. R. acknowledges funding from the European Unions Horizon 2020 research and innovation program under Grant Agreement no. 963542. K. A. acknowledges funding by the DFG under project number 413956820 |
Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Materialwissenschaft 11 Fachbereich Material- und Geowissenschaften > Materialwissenschaft > Fachgebiet Materialmodellierung Zentrale Einrichtungen Zentrale Einrichtungen > Hochschulrechenzentrum (HRZ) Zentrale Einrichtungen > Hochschulrechenzentrum (HRZ) > Hochleistungsrechner |
Hinterlegungsdatum: | 19 Jun 2024 08:52 |
Letzte Änderung: | 20 Nov 2024 11:05 |
PPN: | 51925869X |
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Structure–property relations of silicon oxycarbides studied using a machine learning interatomic potential. (deposited 19 Nov 2024 12:28)
- Structure–property relations of silicon oxycarbides studied using a machine learning interatomic potential. (deposited 19 Jun 2024 08:52) [Gegenwärtig angezeigt]
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