[Chihiro Nakajima] Semi-supervised learning of “skilled measurement” and beyond in materials science

Research Director

Chihiro Nakajima

Chihiro Nakajima

Japan Science and Technology Agency
PRESTO researcher

Outline

Machine learning is introduced into various situations of materials science. Especially the integration of outstanding incentives or skills by experimentalists and automatic processibility of massive data by machine learning is attempted. The researches are performed along with following three theme : (1)Complementation or extension of incentive of experimentalist beyond the standard use of instruments, (2)Automatic processing with complicated procedure for massive data, (3)Framework to obtain synthetic output from experimental situations which are independent each other.

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