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Filtering by: Author Ken-ichi Uchida Journal APL Machine Learning

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