Akihiro Kirihara

Invited Talk : New material development utilizing materials informatics

Akihiro Kirihara, 2019 .

Challenges of combinatorial approach for developing magneto-thermoelectric materials

Shinichi Yorozu, Yuma Iwasaki, Eiji Saitoh, 2017 .

Machine-learning guided discovery of a new thermoelectric material

Yuma Iwasaki, Shinichi Yorozu, Ichiro Takeuchi, 2019, Scientific Reports.

Machine-learning guided discovery of a high-performance spin-driven thermoelectric material

Shinichi Yorozu, Yuma Iwasaki, Ichiro Takeuchi, 2018, 1805.02303.

Spin-Seebeck thermoelectric converter

Yuma Iwasaki, Ken-ichi Uchida, Eiji Saitoh, 2014, 2014 IEEE International Nanoelectronics Conference (INEC).

Flexible heat-flow sensing sheets based on the longitudinal spin Seebeck effect using one-dimensional spin-current conducting films

Yuma Iwasaki, Ken-ichi Uchida, Eiji Saitoh, 2016, Scientific reports.

Materials development by interpretable machine learning

Yuma Iwasaki, Yorozu Shinichi, Ichiro Takeuchi, 2019, 1903.02175.

Spin-current-driven thermoelectric coating.

Yasunobu Nakamura, Shinichi Yorozu, Ken-ichi Uchida, 2012, Nature materials.

Role of bulk-magnon transport in the temporal evolution of the longitudinal spin-Seebeck effect

Philipp Pirro, Andrii V. Chumak, Akihiro Kirihara, 2014 .