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 developed a deep learning-based approach that significantly streamlines the accurate identification and classification of two-dimensional (2D) materials through Raman spectroscopy. In ...

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 ...

Carbon-based stimuli-responsive nanomaterials are gaining much attention due to their versatility, including disease diagnosis and treatment. They work under endogenous (pH, temperature, enzyme, and ...

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 ...