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?

A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...

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

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

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

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 ...