Lenchuk, Olena ; Rohrer, Jochen ; Albe, Karsten (2024)
Mo–Si alloys studied by atomistic computer simulations using a novel machine‐learning interatomic potential: thermodynamics and interface phenomena.
In: Advanced Engineering Materials, 26 (17)
doi: 10.1002/adem.202302043
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
A machine-learning interatomic potential for Mo–Si alloys based on the atomic cluster expansion formalism is presented, its performance is validated, and it is applied for studying interface phenomena. Structural parameters, elastic constants, and melting temperatures of the crystalline body-centered cubic Mo, diamond Si, and stable Mo–Si alloys (Mo3Si, Mo5Si3, and MoSi2) are calculated and compared to experimental values. Using the trained potential defect, formation energies are calculated and the thermodynamic stability of various MoxSiy alloys is discussed with focus on Mo3Si. Finally, the intermixing between Mo and Si phases is studied by performing interface simulations of Mo|Si. The crystallization behavior of the Mo3Si phase provides additional evidence for the off-stoichiometric composition of this intermetallic phase.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Lenchuk, Olena ; Rohrer, Jochen ; Albe, Karsten |
| Art des Eintrags: | Bibliographie |
| Titel: | Mo–Si alloys studied by atomistic computer simulations using a novel machine‐learning interatomic potential: thermodynamics and interface phenomena |
| Sprache: | Englisch |
| Publikationsjahr: | 5 Mai 2024 |
| Ort: | Weinheim |
| Verlag: | Wiley-VCH |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Advanced Engineering Materials |
| Jahrgang/Volume einer Zeitschrift: | 26 |
| (Heft-)Nummer: | 17 |
| Kollation: | 12 Seiten |
| DOI: | 10.1002/adem.202302043 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | A machine-learning interatomic potential for Mo–Si alloys based on the atomic cluster expansion formalism is presented, its performance is validated, and it is applied for studying interface phenomena. Structural parameters, elastic constants, and melting temperatures of the crystalline body-centered cubic Mo, diamond Si, and stable Mo–Si alloys (Mo3Si, Mo5Si3, and MoSi2) are calculated and compared to experimental values. Using the trained potential defect, formation energies are calculated and the thermodynamic stability of various MoxSiy alloys is discussed with focus on Mo3Si. Finally, the intermixing between Mo and Si phases is studied by performing interface simulations of Mo|Si. The crystallization behavior of the Mo3Si phase provides additional evidence for the off-stoichiometric composition of this intermetallic phase. |
| Freie Schlagworte: | machine‐learning interatomic potentials, molecular dynamics, Mo–Si alloys, refractory alloys |
| ID-Nummer: | Artikel-ID: 2302043 |
| Zusätzliche Informationen: | TU Projekt: GRK2561 (DFG) |
| 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: | 17 Jul 2024 08:16 |
| Letzte Änderung: | 20 Nov 2024 13:02 |
| PPN: | 519959485 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
-
Mo–Si Alloys Studied by Atomistic Computer Simulations Using a Novel Machine‐Learning Interatomic Potential: Thermodynamics and Interface Phenomena. (deposited 19 Nov 2024 12:26)
- Mo–Si alloys studied by atomistic computer simulations using a novel machine‐learning interatomic potential: thermodynamics and interface phenomena. (deposited 17 Jul 2024 08:16) [Gegenwärtig angezeigt]
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum