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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	S. Sivaraman, N. Radhika, Muhammad Abubaker Khan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	High entropy alloys machine learning mutual information Pearson correlation coefficient variance inflation factors
Accesso online:	https://ieeexplore.ieee.org/document/10890984/
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!