Machine learning as a contributor to physics: Understanding Mg alloys

Machine learning (ML) methods have played an increasingly important role in materials design. Take Mg alloys as an example, we show the ML methods not only supply mathematical solutions but more importantly also contribute to understand the physics in the problem. Hitherto, the role of ML methods is...

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Bibliographic Details
Main Authors: Zongrui Pei, Junqi Yin
Format: Article
Language:English
Published: Elsevier 2019-06-01
Series:Materials & Design
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127519301960