Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Since its establishment as the world’s first materials science academic department, Northwestern Engineering has led and defined the frontier of material research, enabling transformative technologies ...

If innovation had a lab soundtrack, it wouldn’t be a triumphant drumroll—it would be the quiet hum of “try again.” Dow’s ...

In this fascinating experiment, we delve into the world of science by pitting a powerful magnet against a simple needle. Watch as we explore the magnetic forces at play and discover the reactions of ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Last week, a team of researchers from the ...

We are entering a new era in science — the fourth paradigm, according to Kristin Persson, a professor in materials science at the University of California in Berkeley, United States. The first ...

The global market for 2D materials — already estimated at several billion dollars annually — is growing at a 4 percent rate. This is explained by the importance of these newly synthesized materials, ...

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can ...