Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure

Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure

Abstract The prediction of corrosion resistance in High-entropy alloys (HEAs) faces challenges due to previous machine learning methods not fully capturing the interdependencies between composition, processing, and crystal structure. This study proposes the Composition and Processing-Driven Two-Stag...

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Bibliographic Details
Main Authors: Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Materials Degradation
Online Access:https://doi.org/10.1038/s41529-025-00632-4
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