Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance

High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These HEA coatings exhibit superior wear and corrosive resistance, making them suitable for various industries. Howev...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	S. Sivaraman, N. Radhika, Muhammad Abubaker Khan
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	High entropy alloys machine learning mutual information Pearson correlation coefficient variance inflation factors
Online Access:	https://ieeexplore.ieee.org/document/10890984/