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.

AILA can now manage this instrument, make real-time decisions during experiments, and generate results independently.

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still ...

Scientists are probing topological insulators with circularly polarized light to reveal their many secrets. These exotic materials have potential for quantum computing and other technologies. They ...

Princeton Engineering researchers are combining their expertise in chemical engineering, materials and computation to design crystalline materials that can be used to mitigate pollution or make ...

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 ...

Science experiments that push materials and reactions to dramatic limits. So this is why Trump didn’t want to release the ...

Your second and third years have distinctive course requirements and electives. Here we can compare four related majors through select second and third year courses. MSE 2110 - Introduction to ...