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Filtering by: Journal APL Machine Learning Funder Exploratory Research for Advanced Technology Funder Japan Society for the Promotion of Science Publisher AIP Publishing

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

Designing composition ratio of magnetic alloy multilayer for transverse thermoelectric conversion by Bayesian optimization

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