Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Angular-dependent interatomic potential for large-scale atomistic simulation of the Fe-Cr-H ternary system

Starikov, S., Smirnova, D., Pradhan, T., Gordeev, I., Drautz, R., & Mrovec, M. (2022). Angular-dependent interatomic potential for large-scale atomistic simulation of the Fe-Cr-H ternary system. Physical Review Materials, 6(4): 043604. doi:10.1103/PhysRevMaterials.6.043604.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Starikov, Sergei1, Autor
Smirnova, Daria2, Autor           
Pradhan, Tapaswani1, Autor
Gordeev, Ilia3, Autor
Drautz, Ralf4, Autor           
Mrovec, Matous5, Autor           
Affiliations:
1The Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr-Universität Bochum, Germany, ou_persistent22              
2Microstructure and Mechanics, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863344              
3Joint Institute for High Temperatures of Ras, Moscow, Russian Federation, ou_persistent22              
4ICAMS, Materials Research Department, Ruhr-Universität Bochum, Universitätsstraße 90a, Bochum, Germany, ou_persistent22              
5Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-University Bochum, Universitätsstr. 150, D-44780 Bochum, Germany, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Binary alloys; Crystal defects; Hydrogen; Iron alloys; Ternary systems, Atomistic simulations; Computation costs; Hydrogen interaction; Interatomic potential; Large-scales; Machine learning approaches; Metallic alloys; Metallic hydrogen; Parametrizations; Pure iron, Chromium alloys
 Zusammenfassung: The recently developed angular-dependent potential for pure iron was advanced to the interatomic potential of the Fe-Cr-H ternary system. The new potential allows to simulate Fe-Cr alloys for a wide range of compositions and different concentrations of hydrogen. The angular-dependent format of the model and the development procedure based on the machine learning approach allow to achieve a favorable balance between the computation cost and the reliability of the created parametrization. As part of potential validation, we performed a large number of tests of both the binary metallic alloys and hydrogen interactions. The applicability of the potential is demonstrated by large-scale simulations of hydrogen diffusion in the vicinity of crystal defects. © 2022 American Physical Society.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2022-04-26
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1103/PhysRevMaterials.6.043604
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : COMET program within the K2 Center ”Computational Material, Process and Product Engineering (IC-MPPE)“ (Project No 859480).
Grant ID : 859480
Förderprogramm : -
Förderorganisation : -

Quelle 1

einblenden:
ausblenden:
Titel: Physical Review Materials
  Kurztitel : Phys. Rev. Mater.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: College Park, MD : American Physical Society
Seiten: 17 Band / Heft: 6 (4) Artikelnummer: 043604 Start- / Endseite: - Identifikator: ISSN: 2475-9953
CoNE: https://pure.mpg.de/cone/journals/resource/2475-9953