Estimation of TbCo composition from local-minimum-energy magnetic images taken by magneto-optical Kerr effect microscope by using machine learning

Recently, the incorporation of machine learning (ML) has heralded significant advancements in materials science. For instance, in spintronics, it has been shown that magnetic parameters, such as the Dzyaloshinskii–Moriya interaction, can be estimated from magnetic domain images using ML. Magnetic ma...

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Bibliographic Details
Main Authors: Shiori Kuno, Shinji Deguchi, Satoshi Sumi, Hiroyuki Awano, Kenji Tanabe
Format: Article
Language:English
Published: AIP Publishing LLC 2023-12-01
Series:APL Machine Learning
Online Access:http://dx.doi.org/10.1063/5.0160970