Open Access
Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L12-strengthened cobalt-based superalloys
Author(s) -
Shengkun Xi,
Jinxin Yu,
Longke Bao,
Liuping Chen,
Zhou Li,
Rongpei Shi,
Cuiping Wang,
Xingjun Liu
Publication year - 2022
Publication title -
journal of materials informatics
Language(s) - English
Resource type - Journals
ISSN - 2770-372X
DOI - 10.20517/jmi.2022.22
Subject(s) - superalloy , materials science , structural stability , supercell , solvus , phase (matter) , stability (learning theory) , metastability , thermodynamics , metallurgy , computer science , structural engineering , alloy , chemistry , machine learning , engineering , physics , telecommunications , radar , organic chemistry