Vacuum and Surface Science
Online ISSN : 2433-5843
Print ISSN : 2433-5835
Special Feature : Research Forefront of Surface and Vacuum Science Developed by Data-Driven Approach
Visualization of Topological Defect in Labyrinth Magnetic Domain by Using Persistent Homology
T. YAMADAY. SUZUKIC. MITSUMATAK. ONOT. UENOI. OBAYASHIY. HIRAOKAM. KOTSUGI
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JOURNALS FREE ACCESS

2019 Volume 62 Issue 3 Pages 153-160

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Abstract

We executed the topological data analysis of labyrinth magnetic domain structure to visualize pinning site during the magnetization reversal process. We utilized persistent homology to extract the topological feature of the magnetic domain structure, and principal component analysis was used to construct the correlation between persistence diagram and magnetic hysteresis loop. As a result, we could automatically visualize the pinning site as topological defect on the original magnetic domain structure.

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この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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