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Ken-ichi Uchida
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Yoshio Miura
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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
First-principles study of the anisotropic magneto-Peltier effect
Description/Abstract:
We study theoretically the anisotropic magneto-Peltier effect, which was recently demonstrated experimen-tally. A first-principles-based ...
Keyword:
Peltier effect
,
Spin caloritronics
, and
Spintronics
Resource Type:
Article
Author:
Keisuke Masuda
,
Ken-ichi Uchida
,
Ryo Iguchi
, and
Yoshio Miura
Journal:
Physical Review B
Date Uploaded:
11/04/2024
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Peltier effect
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Spin-orbit interactions, First-principle calculations, Superlattices, Informatics, Machine learning, Ferromagnetic materials, Multilayers, Thermoelectric effects
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Creative Commons BY Attribution 4.0 International
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Author
Keisuke Masuda
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Ken-ichi Uchida
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Yoshio Miura
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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 Science and Technology Corporation
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APL Machine Learning
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Physical Review B
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