Machine learning and high-throughput computational guided development of high temperature oxidation-resisting Ni-Co-Cr-Al-Fe based high-entropy alloys

Machine learning and high-throughput computational guided development of high temperature oxidation-resisting Ni-Co-Cr-Al-Fe based high-entropy alloys

Abstract Ni-Co-Cr-Al-Fe-based high-entropy alloys (HEAs) have been demonstrated to possess exceptional oxidation resistance, rendering them promising candidates as bond coats to protect critical components in turbine power systems. However, with the conventional time-consuming alloy design approach,...

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Main Authors: Xingru Tan, William Trehern, Aditya Sundar, Yi Wang, Saro San, Tianwei Lu, Fan Zhou, Ting Sun, Youyuan Zhang, Yuying Wen, Zhichao Liu, Michael Gao, Shanshan Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-025-01568-8
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https://doi.org/10.1038/s41524-025-01568-8

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