Achieving DFT accuracy with a machine-learning interatomic potential: Thermomechanics and defects in bcc ferromagnetic iron
2018
Details
Title
Achieving DFT accuracy with a machine-learning interatomic potential: Thermomechanics and defects in bcc ferromagnetic iron
Author(s)
Dragoni, D ; Daff, TD ; Csanyi, G ; Marzari, N
Published in
Physical Review Materials
Volume
2
Issue
1
Pages
013808
Date
2018
Other identifier(s)
View record in Web of Science
Laboratories
THEOS
Record Appears in
Scientific production and competences > STI - School of Engineering > IMX - Institute of Materials > THEOS - Laboratory of theory and simulation of materials
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Record creation date
2018-11-08