Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
For over 100 years, physicists, chemists, and materials scientists have developed extensive theoretical and experimental machinery to predict and characterize the electronic properties of magnetic ...
Separating heavy product from light has never been easier, thanks to General Kinematics’ DE-STONER ® Air Classifier. The DE-STONER ® uses an air classification system that makes it uniquely adaptable ...
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GeSn alloys emerge as a new semiconductor class that could reshape optoelectronics
Scientists have created a new type of material that could enable common electronic devices to work faster and use less energy, a study suggests. The findings indicate the material, which was until now ...
The findings are published in Applied Materials Today ("Deep learning assisted Raman spectroscopy for rapid identification of 2D materials"). "Sometimes, we only have a few samples of the 2D material ...
Micro-computed tomography (micro-CT) is considered an essential tool for characterizing the internal structure of samples in a non-destructive manner. Although micro-CT technology is great for ...
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