Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

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 ...

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 ...

A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to real-time, dynamic chemical experiments, researchers have created a ...

The study of material plasma exposure experiments and plasma‐material interactions is critical for advancing fusion energy research and the development of next‐generation plasma facing components.

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 ...

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.

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 ...