Open AccessNeural network potential for Al-Mg-Si alloys
Author(s) -
Ryo Kobayashi,
Daniele Giofré,
Till Junge,
Michele Ceriotti,
W.A. Curtin
Publication year - 2017
Publication title -
physical review materials
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.439
H-Index - 42
eISSN - 2476-0455
pISSN - 2475-9953
DOI - 10.1103/physrevmaterials.1.053604
Subject(s) - materials science , alloy , precipitation , ternary operation , artificial neural network , vacancy defect , thermodynamics , chemical physics , metallurgy , crystallography , computer science , machine learning , chemistry , physics , meteorology , programming language