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 ...

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

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

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 ...