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Filtering by: Author Yoshio Miura Journal APL Machine Learning Funder Japan Society for the Promotion of Science

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