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 ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

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 ...

World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech ...

Solar panels and wind turbines increasingly dot the landscape, but the future of clean energy may well depend on how smoothly ...

Learn to parent using calibrated questions! Allow children to find their own way in certain situations, but prompt them to think and figure it out for themselves. People in Denmark 'stunned' by ...

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 ...