Coupling physics in machine learning to investigate the solution behavior of binary Mg alloys

Coupling physics in machine learning to investigate the solution behavior of binary Mg alloys

The solution behavior of a second element in the primary phase (α(Mg)) is important in the design of high-performance alloys. In this work, three sets of features have been collected: a) interaction features of solutes and Mg obtained from first-principles calculation, b) intrinsic physical properti...

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Bibliographic Details
Main Authors: Tao Chen, Qian Gao, Yuan Yuan, Tingyu Li, Qian Xi, Tingting Liu, Aitao Tang, Andy Watson, Fusheng Pan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-10-01
Series:Journal of Magnesium and Alloys
Subjects:
Mg alloys
Solid solubility
Machine learning
First-principles calculation
Diagrammatic method
Online Access:http://www.sciencedirect.com/science/article/pii/S2213956721001584

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