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A Machine Learning Approach for the Prediction of Formability and Thermodynamic Stability of Single and Double Perovskite Oxides
Author(s) -
Anjana Talapatra,
Blas P. Uberuaga,
Christopher R. Stanek,
Ghanshyam Pilania
Publication year - 2021
Publication title -
chemistry of materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.741
H-Index - 375
eISSN - 1520-5002
pISSN - 0897-4756
DOI - 10.1021/acs.chemmater.0c03402
Subject(s) - perovskite (structure) , formability , oxide , materials science , stability (learning theory) , chemical stability , thermodynamics , computer science , machine learning , chemistry , crystallography , physics , composite material , metallurgy

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