A Graph-Based k-Nearest Neighbor (KNN) Approach for Predicting Phases in High-Entropy Alloys

A Graph-Based k-Nearest Neighbor (KNN) Approach for Predicting Phases in High-Entropy Alloys

Traditional techniques for detecting materials have been unable to coordinate with the advancement of material science today due to their low accuracy and high cost. Accordingly, machine learning (ML) improves prediction efficiency in material science and high-entropy alloys’ (HEAs’) phase predictio...

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Bibliographic Details
Main Authors: Raheleh Ghouchan Nezhad Noor Nia, Mehrdad Jalali, Mahboobeh Houshmand
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
machine learning
classification
phase prediction
high-entropy alloys
materials
KNN
Online Access:https://www.mdpi.com/2076-3417/12/16/8021

Internet

https://www.mdpi.com/2076-3417/12/16/8021

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