Supercomputer simulation clarifies how turbulent boundary layers evolve at moderate Reynolds numbers
Scientists at the University of Stuttgart's Institute of Aerodynamics and Gas Dynamics (IAG) have produced a novel dataset that will improve the development of turbulence models. With the help of the ...
Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
Using HLRS’s Hawk supercomputer, University of Stuttgart scientists have for the first time produced high-resolution simulation data characterizing the transition from low to high Reynolds numbers in ...
Morning Overview on MSN
Quantum-informed AI boosts long-range turbulence forecasts with less RAM
Turbulence is one of the most expensive problems in computing. Simulating the chaotic swirl of air over a wing or the churn ...
U.S. researchers have used the Frontier exascale supercomputer to train AI models that can simulate magnetized plasma turbulence with unprecedented accuracy. The breakthrough could revolutionize the ...
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