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Yoshio Miura
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AIP Publishing
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1.
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
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Spin-orbit interactions, First-principle calculations, Superlattices, Informatics, Machine learning, Ferromagnetic materials, Multilayers, Thermoelectric effects
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English
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AIP Publishing
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Creative Commons BY Attribution 4.0 International
1
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Keisuke Masuda
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Ken-ichi Uchida
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Naoki Chiba
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Yoshio Miura
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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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APL Machine Learning
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