Accelerating age hardening behavior of Mg alloy using a data-driven screening strategy guided by machine learning

In this work, we introduce a self-guided design framework that combines target property and feature importance evaluation to optimize the aging behavior of Mg alloys. The design efficiency was built by a precise and reliable two-step feature engineering training strategy (2SFE) guided by machine lea...

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Vydané v:	Next materials Ročník 10; s. 101425
Hlavní autori:	Moses, Atwakyire, Huang, Qiao, Chen, Ding
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2026 Elsevier
Predmet:	Age-hardening Machine learning Mechanical property Mg alloys Variable feature reduction Variable feature reduction Mechanical property Mg alloys Age-hardening Machine learning
ISSN:	2949-8228, 2949-8228
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