From ultra-sensitive sensors to shape-shifting implants, stimuli-responsive smart materials react reversibly to heat, light, stress, or pH. They could transform devices and therapies once issues in ...

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.

Smart or intelligent materials possess unique capabilities, such as self-adaptability, memory, self-sensing, and multi-functionality, making them attractive across many industries, including aerospace ...

Excitement is building among NASA researchers and local high school students as they look forward to their first up-close look at materials experiments flown on the exterior of the International Space ...

Bacterial cellulose (BC) has emerged as a promising biopolymer across diverse sectors, ranging from biomedicine, food packaging, electronics, and textiles, ...

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 ...

Over the past few decades, food packaging markets have captured the attention of researchers due to their direct impact on human health. Both metallic and nonmetallic materials find use in the food ...

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.