11 citations · 28 across the 12 of their papers we have counts for
Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2024★ 1 cited
Unfolding Time: Generative Modeling for Turbulent Flows in 4D
Abdullah Saydemir, Marten Lienen, Stephan Günnemann
A recent study in turbulent flow simulation demonstrated the potential of generative diffusion models for fast 3D surrogate modeling. This approach eliminates the need for specifyi…
physics.flu-dyn2023★ 9 cited
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
Marten Lienen, David Lüdke, Jan Hansen-Palmus +1
Simulations of turbulent flows in 3D are one of the most expensive simulations in computational fluid dynamics (CFD). Many works have been written on surrogate models to replace nu…