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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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Principais autores: S. Sivaraman, N. Radhika, Muhammad Abubaker Khan
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2025-01-01
סדרה:IEEE Access
נושאים:
High entropy alloys
machine learning
mutual information
Pearson correlation coefficient
variance inflation factors
גישה מקוונת:https://ieeexplore.ieee.org/document/10890984/
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