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

The final, formatted version of the article will be published soon. The Structural Materials section of Frontiers in Materials has published almost 1000 articles during the past 10 years, and this ...

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 ...

Hydrogen storage is limited by high pressure or cold tanks. Metal hydrides offer efficiency. A large curated database reveals key atomic traits to guide design. (Nanowerk News) Hydrogen fuels ...

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 ...

Purpose To develop and prospectively validate a clinical and radiologic model to predict clinically significant prostate cancer (csPCa) using biparametric MRI (bpMRI). Materials and Methods ...

As the “science of reading” movement has grown, more districts are moving away from reading programs featuring practices that aren’t supported by research, and toward programs that are rated highly by ...

A molecular model shows two macrocycles interlocked like links in a chain, with additional atoms attached on the side of one ring. This conceptual version of the catenane made by Michael Kathan and ...