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Keisuke Masuda
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Core Research for Evolutional Science and Technology
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Designing composition ratio of magnetic alloy multilayer for transverse thermoelectric conversion by Bayesian optimization
Description/Abstract:
Wedemonstrated the effectiveness of the machine learning method combined with first-principles calculations for the enhancement of the an...
Keyword:
Spin-orbit interactions, First-principle calculations, Superlattices, Informatics, Machine learning, Ferromagnetic materials, Multilayers, Thermoelectric effects
Resource Type:
Article
Author:
Naoki Chiba
,
Keisuke Masuda
,
Ken-ichi Uchida
, and
Yoshio Miura
Journal:
APL Machine Learning
Date Uploaded:
24/05/2024
Perspective on nanoscale magnetic sensors using giant anomalous Hall effect in topological magnetic materials for read head application in magnetic recording
Description/Abstract:
Recent advances in the study of materials with topological electronic band structures have revealed magnetic materials exhibiting giant a...
Keyword:
Weyl semimetal
,
anomalous Hall effect
,
magnetic recording
,
magnetic sensors
,
read head
, and
topological materials
Resource Type:
Article
Author:
Tomoya Nakatani
,
Prabhanjan D. Kulkarni
,
Hirofumi Suto
,
Keisuke Masuda
,
Hitoshi Iwasaki
, and
Yuya Sakuraba
Journal:
Applied Physics Letters
Date Uploaded:
26/02/2024
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Spin-orbit interactions, First-principle calculations, Superlattices, Informatics, Machine learning, Ferromagnetic materials, Multilayers, Thermoelectric effects
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Weyl semimetal
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anomalous Hall effect
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magnetic recording
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English
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AIP Publishing
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Creative Commons BY Attribution 4.0 International
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Author
Keisuke Masuda
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Hirofumi Suto
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Hitoshi Iwasaki
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Ken-ichi Uchida
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Naoki Chiba
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Core Research for Evolutional Science and Technology
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Exploratory Research for Advanced Technology
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Japan Society for the Promotion of Science
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Ministry of Education, Culture, Sports, Science and Technology
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APL Machine Learning
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Applied Physics Letters
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