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.

Integrating structured frameworks has become crucial in a time where industries are powered by complex systems to main ...

Georgia Tech and Vanderbilt researchers have built the first lung-on-a-chip with a working immune system, a breakthrough with ...

The special operations line of power tools represents the pinnacle of underwater tool engineering. These variants operate at ...

An international team including University of Tennessee, Knoxville Professor Alycia Stigall, offers a new way to examine the ...

Additive manufacturing of alloys has enabled the creation of machine parts that meet the complex requirements needed to ...

Physicist Arvind Murugan earns Schmidt Science Polymath award for work at intersection of physics, biology, computation and materials science ...

A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...