Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...

This visualization shows moderately large pressure fluctuations within a 35-trillion-grid-point turbulence simulation, ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

Coming off a 9-7-1 regular season and a one-and-done postseason, what is the outlook for the Green Bay Packers in 2026?

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...