Advanced Materials

Advanced Materials

Exploring the frontier of physical innovation, this content focuses on smart materials and high-performance composites. It bridges the gap between lab-scale discovery and practical use in medical prosthetics, industrial robotics, and sustainable urban grids. Beyond the lab, we analyze the socio-economic shifts triggered by new materials, including the future of manufacturing and the ethical imperative of circular economy design to solve global environmental crises.

Chen Kan

UTA engineer earns NSF CAREER Award for manufacturing research

Chen Kan, an assistant professor in the Industrial, Manufacturing, and Systems Engineering Department at The University of Texas at Arlington, has received a Faculty Early Career Development Program award from the National Science Foundation to advance his research and education initiatives. The $500,000 grant will enable Dr. Kan to integrate advanced sensing and artificial intelligence to monitor and optimize the additive manufacturing process for metamaterials—engineered materials with mechanical and other properties that are not found in nature.
Math model sheds light on Alzheimer’s spread

Math model sheds light on Alzheimer’s spread

Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at Arlington, analyzing how different parts of the brain interact like a network is revealing new insights into one of the world’s most devastating brain disorders.