Electrically heated elements turn from solids to liquids to provide flexibility to robotic building blocks. We use cookies to improve your experience on our site. By using our site, you consent to ...

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.

By shining a focused laser beam onto a sample of material, a team at the Paul Scherrer Institute (PSI) and ETH Zürich showed ...

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 ...

University of Liverpool researchers have discovered a way to host some of the most significant properties of graphene in a ...

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

A research team at Penn State has uncovered a potential method for precisely manipulating a material's properties by altering its atomic arrangement. Their discovery suggests that "atomic spray ...

Mechanical engineers at Duke University have demonstrated a proof-of-concept method for programming mechanical properties ...