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Filtering by: Author Ken-ichi Uchida Funder Core Research for Evolutional Science and Technology

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
Zero-magnetic-field operation of ordinary-Nernst-effect-based transverse thermoelectric module using embedded permanent magnets

Description/Abstract:

The ordinary Nernst effect enables large transverse thermoelectric conversion in semimetals but its operation requires the application of...

Keyword:

ordinary Nernst effect, permanent magnet, and transverse thermoelectric conversion

Resource Type:

Article

Author:

Masayuki Murata, Takamasa Hirai, Takeshi Seki, and Ken-ichi Uchida

Journal:

APPLIED PHYSICS LETTERS

Date Uploaded:

15/05/2024