In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

A new study by Chinese scientists has uncovered that dust storms are the "hidden drivers" of extreme rainfall and precipitation shifts on a global scale, overturning the long-held perception of dust ...

The most demanding calculations in quantum chemistry can now be solved with graphics processing unit (GPU) supercomputers. A ...

A University of Manchester researcher has developed a machine-learning method to spot sudden changes in fluid behavior, known as bifurcation points, before traditional simulations fail. The approach ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Shillong Tear has gained huge recognition from players who analyze quantitative models and ancient results. Every day, ...

Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could be used for reactions such as turning carbon dioxide into fuel, but ...

RICHLAND, Wash.-The most demanding calculations in quantum chemistry can now be solved with graphic processing unit (GPU) ...

Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...