Prediction of alloying element effects on the mechanical behavior of high-pressure die-cast Mg-based alloys

Achieving optimal mechanical performance in high-pressure die-cast (HPDC) Mg-based alloys through experimental methods is both costly and time-intensive due to significant variations in composition. This study leverages machine learning (ML) techniques to accelerate the development of high-performan...

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Bibliographic Details

Published in:	Journal of Magnesium and Alloys
Main Authors:	Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, Sumanta Samal, Hansung Lee, Eunhyo Song, Younggeon Lee, Byungmin Ahn
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-08-01
Subjects:	Lightweight alloys High-pressure die casting Machine learning Predictive analysis Alloys development
Online Access:	http://www.sciencedirect.com/science/article/pii/S2213956725002191