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

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new ...

A burst of invisible light can do more than illuminate a surface. In a new study, Michigan State University researchers used ...

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

Workflow behind the MPT model. In this approach, the model learns from various material properties simultaneously in an initial training phase, followed by fine-tuning on the target property data.

In this interview, Markus Buehler discusses MIT's Machine Learning for Materials Informatics course, its curriculum, and its impact on the broader materials science community, emphasizing the exciting ...

An introductory course focused on the new and existing materials that are crucial for mitigating worldwide anthropogenic CO2 emissions and associated greenhouse gases. Emphasis will be placed on how ...

Researchers at the Department of Energy's Oak Ridge National Laboratory are pioneering the design and synthesis of quantum ...

Beyond their sparkle, diamonds have hidden talents. They shed heat better than any material, tolerate extreme temperatures ...