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 ...

In recent years, additive manufacturing technology has attracted considerable attention from various stakeholders. Among the different techniques, Arc wire-based direct energy deposition (DED) has ...

A research team led by Kyung Mun Min and Seonghwan Choi of Materials Processing Research Division (Korea Institute of ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

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.

Materials scientists have been enchanted by the search for new materials that exceed the temperature capability of Ni-based superalloys for many decades. High melting point and solidus temperatures ...

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Researchers demonstrate a fabrication process of yttrium aluminum garnet doped with cerium 3D micro-objects, producing ...