ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Florida State University scientists have engineered a new crystal that forces atomic magnets to swirl into complex, repeating ...

Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

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 ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed an AI framework that tackles one of physics’ most complex computational challenges. Credit: Stock An AI ...