Engineers at the Massachusetts Institute of Technology have designed a new aluminum alloy that can be 3D printed and reach ...

The Russia Science Foundation (RSF) and the Iran National Science Foundation (INSF) have issued grants to 15 international projects involving Russian and Iranian researchers, who will use the money ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

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 ...

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 ...

Aluminum (in brown) vs alloy with small particles (in blue and green) that impart exceptional strength when 3D printed- Credit Felice Frankel for MIT Incorporating machine learning, MIT engineers have ...

How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to address as a team of researchers investigated ...

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.