Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries
Chemical space
DOI:
10.1002/adma.202102301
Publication Date:
2021-09-13T05:22:03Z
AUTHORS (6)
ABSTRACT
Exploring the vast compositional space offered by multicomponent systems or high entropy materials using traditional route of discovery, one experiment at a time, is prohibitive in terms cost and required time. Consequently, development high-throughput experimental methods, aided machine learning theoretical predictions will facilitate search for their variety. In this study, oxides are fabricated characterized automated techniques. For intuitive visualization, graphical phase-property diagram correlating crystal structure, chemical composition, band gap introduced. Interpretable models trained data analysis to speed up comprehension. The establishment libraries correlated with properties (as present work), together learning-based approaches opening pathways toward virtual novel both functional structural applications.
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