Symmetry-Adapted Machine Learning for Tensorial Properties of Atomistic Systems
2018
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Details
Title
Symmetry-Adapted Machine Learning for Tensorial Properties of Atomistic Systems
Author(s)
Grisafi, Andrea ; Wilkins, David M. ; Csányi, Gábor ; Ceriotti, Michele
Published in
Physical Review Letters
Volume
120
Issue
3
Pages
036002
Date
2018
Laboratories
COSMO
Record Appears in
Scientific production and competences > STI - School of Engineering > IMX - Institute of Materials > COSMO - Laboratory of Computational Science and Modelling
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Grant
EU funding: 677013-HBMAP
FNS: 200021_163210
FNS: 200021_163210
Record creation date
2018-03-13