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.

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 ...

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

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 ...

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

A new technical paper titled “Epitaxial Si/SiGe Multi-Stacks: From Stacked Nano-Sheet to Fork-Sheet and CFET Devices” was published by researchers at Imec and Ghent University, et al. “After a short ...

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 ...