A machine learning–based classification approach for phase diagram prediction

Knowledge of phase diagrams is essential for material design as it helps in understanding microstructure evolution during processing. The determination of phase diagrams is thus one of the central tasks in materials science. When exploring new materials for which the phase diagram is unknown, experi...

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Bibliographic Details
Main Authors: Guillaume Deffrennes, Kei Terayama, Taichi Abe, Ryo Tamura
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522001186