Analysis of the High-Frequency Magnetization Process Through Machine Learning and Topological Data Techniques-Reference-Cited by-同舟云学术

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Analysis of the High-Frequency Magnetization Process Through Machine Learning and Topological Data Techniques

Published:2024-05-05 Issue: Volume:6 Page:1-2
ISSN:
Container-title:2024 IEEE International Magnetic Conference - Short papers (INTERMAG Short papers)
language:
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Author:

Foggiatto Alexandre Lira¹,Nagaoka Ryunosuke¹,Taniwaki Michiki¹,Yamazaki Takahiro¹,Ogasawara Takeshi²,Obayashi Ippei³,Hiraoka Yasuaki⁴,Mitsumata Chiharu¹,Kotsugi Masato¹

Affiliation:

1. Tokyo University of Science,Department of Material Science,Japan,125-8585

2. National Institute of Advanced Industrial Science and Technology (AIST),Japan,305-8565

3. Okayama University,Department of Environmental and Mathematical Sciences,Okayama,Japan,700-8530

4. Kyoto University Institute for Advanced Study, Kyoto University,Kyoto,Japan,606-8501

Funder

Ministry of Education, Culture, Sports, Science and Technology(MEXT) Innovative Power Electronics Technologies (INNOPEL)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10576737/10576738/10576971.pdf?arnumber=10576971

Reference8 articles.

1. Magnetic Losses

2. Soft magnetic materials for a sustainable and electrified world

3. Analysis of Coercivity Mechanism of YIG based on the Extended Landau Free Energy Model;Masuzawa;T. Magn. Soc. Jpn.,2022

4. Super-hierarchical and explanatory analysis of magnetization reversal process using topological data analysis

5. Causal analysis and visualization of magnetization reversal using feature extended landau free energy

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