Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new materials.Machine learning models analyze massi ...

Discover how to build a simple electromagnetic motor and generator using everyday materials in this hands-on science ...

Discover a range of creative DIY projects and science experiments in this video, showcasing how everyday materials can be ...

research laboratory to study “bad bubbles” that cause defects in metal alloys used to produce engine turbine blades and semiconductor crystals that are crucial components in electronic devices.

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

From creating lightweight yet durable prosthetics to designing new types of solar panels and batteries, materials engineers combine their expertise in physics, chemistry, biology, and engineering to ...

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.

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

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 ...