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 ...

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 ...

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 ...

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 ...

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 ...

A new study has unveiled a cutting-edge framework that harnesses deep learning and remote sensing to identify building materials with remarkable accuracy. This innovative approach enables the ...