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Keisuke Masuda
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APL Machine Learning
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Designing composition ratio of magnetic alloy multilayer for transverse thermoelectric conversion by Bayesian optimization
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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
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Author
Keisuke Masuda
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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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Journal
APL Machine Learning
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