Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.18419/opus-12297
Autor(en): Forslund, Axel
Zhang, Xi
Grabowski, Blazej
Shapeev, Alexander V.
Ruban, Andrei V.
Titel: Ab initio simulations of the surface free energy of TiN(001)
Erscheinungsdatum: 2021
Dokumentart: Zeitschriftenartikel
Seiten: 10
Erschienen in: Physical review, B 103 (2021), 195428
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-123144
http://elib.uni-stuttgart.de/handle/11682/12314
http://dx.doi.org/10.18419/opus-12297
ISSN: 2469-9969
Zusammenfassung: The temperature dependence of the surface free energy of the industrially important TiN(001) system has been investigated by means of an extended two-stage upsampled thermodynamic integration using Langevin dynamics (TU-TILD) methodology, to include the fully anharmonic vibrational contribution, as obtained from ab initio molecular dynamics (AIMD). Inclusion of the fully anharmonic behavior is crucial, since the standard low-temperature quasiharmonic approximation exhibits a severe divergence in the surface free energy due to a high-temperature dynamical instability. The anharmonic vibrations compensate for the quasiharmonic divergence and lead to a modest overall temperature effect on the TiN(001) surface free energy, changing it from around 78 meV Å-2 at 0 K to 73 meV Å-2 at 3000 K. The statistical convergence of the molecular dynamics is facilitated by the use of machine-learning potentials, specifically moment tensor potentials, fitted for TiN(001) at finite temperature. The surface free energy obtained directly from the fitted machine-learning potentials is close to that obtained from the full AIMD simulations.
Enthalten in den Sammlungen:03 Fakultät Chemie

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
PhysRevB.103.195428.pdf2,78 MBAdobe PDFÖffnen/Anzeigen


Alle Ressourcen in diesem Repositorium sind urheberrechtlich geschützt.