First-Principles Calculations, Machine Learning and Monte Carlo Simulations of the Magnetic Coercivity of Fe<sub><i>x</i></sub>Co<sub>1−<i>x</i></sub> Bulks and Nanoclusters

First-Principles Calculations, Machine Learning and Monte Carlo Simulations of the Magnetic Coercivity of Fe<sub><i>x</i></sub>Co<sub>1−<i>x</i></sub> Bulks and Nanoclusters

FeCo alloys, renowned for their exceptional magnetic properties, such as high saturation magnetization and elevated Curie temperatures, hold significant potential for various technological applications. This study combines density-functional theory (DFT) and Monte Carlo (MC) simulations to investiga...

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Bibliographic Details
Main Authors:	Dou Du, Youwei Zhang, Xingwu Li, Namin Xiao
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Nanomaterials
Subjects:	FexCo1-x nanoclusters density-functional theory machine learning Metropolis Monte Carlo magnetic coercivity
Online Access:	https://www.mdpi.com/2079-4991/15/8/577
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