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.

Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis.

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 ...

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, ...

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 ...

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 ...

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 ...

For a long time, material development has focused on enhancing performance and reducing costs. Efforts have been directed toward making products lighter, tougher, better insulated, more beautiful, ...