For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

A research team led by TU Darmstadt has transformed a difficult problem in quantum physics into a much simpler version through innovative reformulation—without losing any important information. The ...

Scientists developed a method combining effective theory and duality transformations to simplify and solve complex quantum systems with strong interactions.

A team of researchers from the Georgia Institute of Technology conducted the largest-ever computational fluid dynamics, or ...

A research team led by TU Darmstadt has transformed a difficult problem in quantum physics into a much simpler version through innovative reformulation – without losing any important information. The ...

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

In a Nature Communications paper, Rensselaer Polytechnic Institute (RPI) math professor Yuri V. Lvov, Ph.D., and a team of oceanographers develop a first-of-its-kind model of internal wave dynamics ...

These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...

Within 1.3 seconds, the ground on either side of Myanmar’s Sagaing Fault moved 2.5 meters sideways activity that a security ...

Successful AI adoption demands more than enthusiasm. It hinges on getting the foundations right: trusted data, domain ...