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A method that can automatically identify and quantify materials’ microstructure from microscopic images has been developed by the research teams led by Professor Seungchul Lee of POSTECH and Dr Se-Jong Kim and Dr Juwon Na of the Materials Data Management Center in the Materials Digital Platform Division.
A research team led by Dr. Se-Jong Kim and Dr. Juwon Na of the Materials Data Management Center in the Materials Digital Platform Division together with a research team led by Professor Seungchul Lee of POSTECH has developed a technology that can automatically identify and quantify materials microstructure from microscopic images through human-in-the-loop machine learning. The research results were published on 15 August in Acta Materialia. Microscopic imaging systems visualize material