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 ...

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 ...

Universal Decimal Classification was originally derived from Dewey Decimal Classification (DDC), and managed by the organization now known as the International Federation of Information and ...

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 ...

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 ...

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 ...