Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

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 ...

Insights on work and energy drawn from a 1935 physics textbook. See how classic physics explains fundamental concepts like work, energy transfer, and conservation using clear, timeless examples that ...

The six-year Dark Energy Survey has released its full results, showing that two leading models of cosmology are equally valid — but both fail to explain one key observation.

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 ...

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.

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

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

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 ...