Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning

Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning

Curve data are essential tools in materials science for characterizing material properties. However, obtaining and analyzing these curve data such as electrochemical corrosion curves to establish the intrinsic relationship of the material is time-consuming work. While machine learning (ML) method ca...

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Bibliographic Details
Main Authors: Xinpeng Zhao, Haiyou Huang, Yanjing Su, Lijie Qiao, Yu Yan
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Materials & Design
Subjects:
Machine learning
Curve data
Global and focused learning
Refractory high-entropy alloys
Corrosion resistance
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525006227
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