A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit ...

An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

Physicists in Leiden have built a microscope that can measure no fewer than four key properties of a material in a single scan, all with nanoscale precision. The instrument can even examine complete ...

An innovative three-in-one instrument that allows scientists to correlate the flowability of soft "gooey" materials such as gels, molten polymers and biological fluids with their underlying ...