Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

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.

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 ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Scientists are learning how to temporarily reshape materials by nudging their internal quantum rhythms instead of blasting ...

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.

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 ...

When you buy through links on our articles, Future and its syndication partners may earn a commission. Credit: Lionel FLUSIN via Getty Images; Michigan State University; VCG via Getty Images; ...