Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

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 ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

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

Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

A new computational approach will improve understanding of different states of carbon and guide the search for materials yet to be discovered. Materials — we use them, wear them, eat them and create ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...

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