The Building Blocks Of Everyday Materials Science So, what exactly is materials science? It’s basically the study ...
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Predicting material failure: Machine learning spots early abnormal grain growth signs for safer designs
A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...
The orientations of these infinitesimally small separations between individual “grains” of a polycrystalline material have big effects. In a material such as aluminum, these collections of grains ...
Materials scientists from The Grainger College of Engineering have provided the first quantitative explanation for a phenomenon first observed in iron in the 1970s.
Researchers from the Department of Materials Science and Engineering at The Grainger College of Engineering have presented the first physical ...
Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...
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