[Motoki Shiga] Informatics for Microstructure Measurements in Materials Science

Research Director

Motoki Shiga

Motoki Shiga

Department of Electrical, Gifu University
Assistant Professor

Outline

Advances in microstructure measurement technologies have enabled us to automatically obtain microstructural information of a specified region of interest in a material in a short period of time. Along with these technological developments, the data volume of measurements to be analyzed has been drastically increasing and then the data analysis cost has become a serious problem. This project aims to resolve this problem by developing efficient data analysis methods based on statistical machine learning for microscopic measurements such as STEM-EELS/EDX. These developed methods will be applied to identify unknown microstructures of materials.

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