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Showing 1 to 1 of 1 for “"Numerical simulation acceleration"”.
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Neural Operators for Learning Complex Nonlocal Mappings in Fluid Dynamics
Accurate physical modeling and accelerated numerical simulation of turbulent flows remain primary challenges in CFD for aerospace engineering and related fields. This dissertation tackles these challenges with a focus on Reynolds-Averaged Navier--Stokes (RANS) models, which will continue to serve …