There's been a long running partnership where we are really invested in how our tools can contribute to scientific discovery," James Hairston said.

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

The company’s cross-disciplinary team lead by a Triple-Dr, Berenika Maciejewicz, applies bioengineering and AI towards human ...

In a major step into the future of energy, scientists have captured the most detailed view yet of the shockwaves that help ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Hybrid climate modelling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining ...

To help make commercial fusion energy a reality, PPPL leads the StellFoundry project, which uses AI to sift through enormous amounts of data to determine which fusion system configurations are best.

The audit concludes that the Selection-Stitch Model offers something modern physics has lacked for decades: Simplicity. It replaces dozens of arbitrary parameters with a single, rigid geometry. It ...

Across the quiet darkness of space and the buried detectors under Antarctic ice, a set of stubborn anomalies is piling up.

Expanding the nation's energy portfolio by making fusion a viable source of electricity is challenging and involves designing ...

Artificial intelligence is colliding with the limits of the power grid, and the result is a frantic search for radically ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...