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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2023-12-01
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Series: | APL Machine Learning |
Online Access: | http://dx.doi.org/10.1063/5.0160970 |