An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...
The orientations of these infinitesimally small separations between individual “grains” of a polycrystalline material have big effects. In a material such as aluminum, these collections of grains ...
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 ...
Materials are often considered to be one phase, but many engineering materials contain two or more phases, improving their properties and performance. These two-phase materials have inclusions, called ...
The figure shows the evolution of the microstructure of the melt pool under the influence of the simulated transient temperature field. Nucleated grains are represented in pink-purple plots, while ...
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