Microstructural features such as grain size, phase distribution, crystallographic texture and defect populations govern the mechanical, thermal and functional properties of modern materials. By ...

A 70-year-old model used to predict the microstructure of materials doesn’t work for today’s materials, say Carnegie Mellon University researchers in Science. A microscopy technique developed by ...

The 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 the research team led by Professor Seungchul ...

Researchers have developed a new microscopy technique that maps material microstructure in three dimensions; results demonstrate that the conventional method for predicting materials' properties under ...

AMES, Iowa – In just the first few months of 2024, the journal Nature has published two scientific papers co-authored by Kun Luo, an Iowa State University postdoctoral research associate in materials ...

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.