Scientists have invented intelligent metamaterials that can learn, remember, change shapes, and move on their own without ...

In a new Nature Physics publication, University of Amsterdam researchers introduce human-made materials that spring to life.

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.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

New technical paper titled “Recent advances and applications of deep learning methods in materials science” from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon ...

A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...