Exploration for the physical origin and impact of chemical short-range order in high-entropy alloys: Machine learning-assisted study

Exploration for the physical origin and impact of chemical short-range order in high-entropy alloys: Machine learning-assisted study

Atomic-level chemical short-range order (CSRO) in high-entropy alloys (HEAs) has ever garnered increasing attention. However, the mechanisms underlying the effects of CSRO remain poorly understood. Material informatics, through a machine learning (ML) algorithm, can fit the high-dimensional correlat...

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Bibliographic Details
Main Authors: Panhua Shi, Zhen Xie, Jiaxuan Si, Jianqiao Yu, Xiaoyong Wu, Yaojun Li, Qiu Xu, Yuexia Wang
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Materials & Design
Subjects:
High entropy alloy
Short range order
First principles calculations
Monte Carlo method
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525003120
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