LLMs unleash AI's potential for autonomous and explainable materials discovery

Discovering new inorganic materials is central to advancing technologies in catalysis, energy storage, semiconductors, and ...
Medicine Buffalo

AI-Guided Material Discovery: Unsupervised Learning and Data Science for Safer, High Performance Material Discovery

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 ...
AZoM on MSN

Material informatics and advanced data analytics in engineering design

From 11.5 million alloy candidates to AI-guided perovskites, this piece unpacks how materials informatics is speeding up ...
EurekAlert!

University of Oklahoma researcher awarded funding to pursue AI-powered material design

Mike Banad, a researcher with the University of Oklahoma, has been awarded funding from the U.S. Department of Defense (DoD) ...