A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Machine learning models trained on molecular quadrupole moments predict electrostatic potentials rapidly, enabling faster ...

A breakthrough deterministic physics kernel delivers molecular, materials, and reaction screening across three ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their highly specific innovation needs. Scientists have now built a new machine ...

A research team has demonstrated how carbon-based diamond–water nanofluids can be strategically engineered to boost heat transfer over complex, wavy ...

For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their surroundings directly through their own body shape and autonomously adapt to ...

Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface ...

Researchers join Wellcome Leap’s international effort to better understand early biological influences on neurodevelopment.

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using artificial intelligence (AI). This article reviews some of the highlights from ...

ROCHESTER, N.Y. (WROC) — Food is fuel for the brain—but that’s not all; science, technology, engineering, and math are, too.