The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

Insights into Spallation Mechanisms of Thermal Protection System Materials from Mass Spectrometry and HyMETS Testing An effort was undertaken to investigate the mechanisms responsible for internal ...

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.

TRUNNANO (Luoyang Tongrun Nano Technology Co., Ltd.) announced a strategic expansion of its business scope, extending from ...

Explore key differences between chemical etching and metal shaping methods to support better process selection.