Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

Computational homogenization has emerged as an indispensable tool for bridging the gap between the microscale heterogeneity of composite materials and their macroscopic behaviour. By employing ...

Sometimes a visually compelling metaphor is all you need to get an otherwise complicated idea across. In the summer of 2001, a Tulane physics professor named John P.

A new computational approach reveals how subtle structural changes in polyheptazine imides can dramatically influence their ability to convert sunlight into chemical energy. Photocatalysis offers a ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...

Recent computational advances have greatly improved the study, prediction, and design of molecular materials. Progress in protein structure, binding, and function prediction is now driving other ...

UD’s interdisciplinary graduate traineeship provides students with key communication and technical skills needed to address complex, real-world problems With over 350,000 commercially available ...

Multi-material 3D printing combines the functional properties of different materials (e.g., mechanical, electrical, color) within a single object that is fabricated without manual assembly. However, ...