Critical Factors Governing the Frictional Coefficient in Mg Alloys—Learn From Machine Learning

ABSTRACT Data‐driven methods are emerging as a promising approach in discovering the correlation between tribological properties, composition, and mechanical properties of engineering materials. In the present study, the capability of several ML models in predicting the coefficient of friction (COF)...

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Bibliographic Details
Main Authors: Negar Bagherieh, Moslem Noori, Dongyang Li, Meisam Nouri
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Engineering Reports
Subjects:
Online Access:https://doi.org/10.1002/eng2.70140
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