The hope for quantum computers is that the devices will be able to solve complex tasks such as predicting how chemicals react or cracking encrypted text. One of the main reasons that the machines are ...

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.

This familiar phenomenon has puzzled researchers for centuries, but experiments are finally making sense of its unruly ...

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 ...

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 ...

Isenberg Elementary School students donned lab coats and goggles earlier this month and conducted unique experiments with the ...

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 ...

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 ...

A new study describes previously unexpected properties in a complex quantum material, findings that have implications for future quantum devices. While the field of quantum information science has ...