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.

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.

Materials are a necessity for all engineering applications. Materials science and engineering seeks to understand the fundamental physical origins of material behavior in order to optimize properties ...

On Demand Underground infrastructure must meet exacting performance demands, starting with the right materials. This webinar explores how cutting-edge material science is driving stronger, lighter, ...

The Materials Science Laboratory is primarily used by the Mechanical Engineering students to support relevant courses and research activities. The Material Science laboratory consists of equipment ...

Researchers have found an efficient way to identify 'topological' materials, whose surfaces can have different electrical or functional properties than their interiors. The approach should make it ...