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Novel Method for Identifying and Quantifying Material Microstructure

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.
South Korea Acta Materialia Megan Craig Seungchul Lee Jong Kim Ministry Of Science
Source: azom.com

Easier and faster materials microstructure analysis through human-AI collaboration

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
Seungchul Lee Jong Kim Materials Digital Platform Division Se Jong Kim Materials Data Management Center Professor Seungchul Lee
Source: wn.com

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