An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...
A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
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 ...