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.

The integration of self-driving laboratories and advanced automation software is revolutionising the fields of chemistry and materials science. By harnessing the power of robotics, artificial ...

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. But now, an AI-powered platform developed by researchers at the Department ...

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 ...

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 ...

Prof. Daniel LAU, Chair Professor of Nanomaterials and Head of the Department of Applied Physics of PolyU (left) collaborated with the team of Prof YUNG Kai-leung, Director of PolyU’s Research Centre ...

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, ...

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 ...

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 ...