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

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Analysis of the Excess Loss in High-Frequency Magnetization Process Through Machine Learning and Topological Data Analysis

Published:2024-09 Issue:9 Volume:60 Page:1-5
ISSN:0018-9464
Container-title:IEEE Transactions on Magnetics
language:
Short-container-title:IEEE Trans. Magn.

Author:

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

Affiliation:

1. Department of Material Science, Tokyo University of Science, Tokyo, Japan

2. National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan

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

4. Kyoto University Institute for Advanced Study, Kyoto University, Kyoto, Japan

Funder

Grant-in-Aid for Early-Career Scientists

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/20/10649776/10540409.pdf?arnumber=10540409

Reference25 articles.

1. Soft magnetic materials for a sustainable and electrified world

2. On the law of hysteresis

3. Calculation of losses in ferro- and ferrimagnetic materials based on the modified Steinmetz equation

4. General properties of power losses in soft ferromagnetic materials

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