[Yuma Iwasaki] Development of spin-driven thermoelectric materials by machine learning with high predictability and understandability

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Yuma Iwasaki

National Institute of Advanced Industrial Science and Technology(AIST)
NEC-AIST Quantum Technology Cooperative Research Laboratory
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Outline

For material development, machine learnings requires not only “high predictability” but also “high understandability”, because scientists often need to investigate and evaluate a data-driven model to obtain clues for better materials. Here, we develop algorithms of machine learning for such “scientist-led materials informatics” and apply it to developments of spin-driven thermoelectric materials.

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