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 ...

Tohoku University researchers have created a deep learning-based method that significantly simplifies the precise identification and categorization of two-dimensional (2D) materials using Raman ...

Materials underpin 70% of the GNP of the industrialised nations, in one way or another, and are therefore vital to the economy. Nanotechnology provides a route to the creation of almost limitless ...

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 ...