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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 ...

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.

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 ...

When you need tools or parts for something you’re working on around the house, you head to the nearest hardware store. Space travelers don’t have that luxury and may have to make their own tools and ...

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 ...

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 ...

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, ...