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 ...

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

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 ...

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.

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

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

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 ...

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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 ...