Industry observers note how AI-supported construction methods may help reduce costs, timelines, and material waste in housing development. AI-supported tools are being evaluated across the ...
MIT researchers have developed a generative AI system that allows users to personalize 3D-printed objects without weakening ...
Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
AI-powered design tools are now fundamental, enabling faster iterations, optimized configurations and system-level insights. Mastering simulation platforms and digital twins allows for virtual ...
Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...