Optimal design of high‐performance rare‐earth‐free wrought magnesium alloys using machine learning

Optimal design of high‐performance rare‐earth‐free wrought magnesium alloys using machine learning

Abstract In this study, a small dataset of 370 datapoints of Mg alloys are selected for machine learning (ML), in which each datapoint includes five rare‐earth‐free alloying elements (Ca, Zn, Al, Mn and Sn), three extrusion parameters (extrusion speed, temperature and ratio), and three mechanical pr...

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Bibliographic Details
Main Authors: Shaojie Li, Zaixing Dong, Jianfeng Jin, Hucheng Pan, Zongqing Hu, Rui Hou, Gaowu Qin
Format: Article
Language:English
Published: Wiley-VCH 2024-06-01
Series:Materials Genome Engineering Advances
Subjects:
machine learning
mechanical property
optimal design
wrought Mg alloys
Online Access:https://doi.org/10.1002/mgea.45
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https://doi.org/10.1002/mgea.45

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