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.

research laboratory to study “bad bubbles” that cause defects in metal alloys used to produce engine turbine blades and semiconductor crystals that are crucial components in electronic devices.

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

ASU is home to researchers at the forefront of material science, pushing boundaries with innovative techniques. These methods are not only advancing the understanding of matter but also driving the ...

The University of Iowa has been awarded $1.5 million to advance materials science research by leveraging various materials’ ...

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.

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 ...

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...