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Developing the nuclear power systems of the future requires innovative thinking and new approaches to solving complex challenges. For the first time, a team of Idaho National Laboratory (INL) and University of Idaho researchers has successfully applied machine learning to characterizing the microstructure of metallic nuclear fuel, the fine details only visible under powerful magnification.

Developing the nuclear power systems of the future requires innovative thinking and new approaches to solving complex challenges. For the first time, a team of

As materials heat up and cool down, atoms and molecules can rearrange in strange and interesting ways. Water is one example. While most materials get denser when they freeze, water forms a crystalline structure as a solid that is less dense than its liquid form. That’s why ice cubes float. And these changes aren’t limited […]

Faced with a growing workload in its research labs, the Materials Research Institute (MRI) met the challenge by offering Penn State students an opportunity that most materials science and engineering undergraduates never receive — the chance to work with high-end equipment on state-of-the-art research.

Connor Mosebey (center) loads a materials sample into a UV-Vis spectrometer while Materials Research Institute researchers Nichole Wonderling (left