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Filtering by: Author Ken-ichi Uchida Funder Core Research for Evolutional Science and Technology Funder Exploratory Research for Advanced Technology Type of work Publication

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

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

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

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