4 citations · 4 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2018
Machine-learning guided discovery of a high-performance spin-driven thermoelectric material
Yuma Iwasaki, Ichiro Takeuchi, Valentin Stanev +10
Thermoelectric conversion using Seebeck effect for generation of electricity is becoming an indispensable technology for energy harvesting and smart thermal management. Recently, t…
physics.comp-ph2018
Boosting Material Modeling Using Game Tree Search
Ryohto Sawada, Yuma Iwasaki, Masahiko Ishida
We demonstrate a heuristic optimization algorithm based on the game tree search for multi-component materials design. The algorithm searches for the largest spin polarization of se…