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A new ODE-based turbulence wall model accounting for pressure gradient and Reynolds number effects
In wall-modeled large-eddy simulations (WMLES), the near-wall model plays a significant role in predicting the skin friction, although the majority of the boundary layer is resolved by the outer large-eddy simulation (LES) solver.
Fluid Dynamics
A hierarchical approach to deep learning and its application to tomographic reconstruction
Here we present a novel framework to solve such problems with deep learning by casting the original problem as a continuum of intermediate representations between the input and output data.
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