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Found 2 papers, 1 papers with code
Super-resolution GANs of randomly-seeded fields
This task is particularly challenging when the mapping between sparse measurements and field quantities is performed in an unsupervised manner.
From coarse wall measurements to turbulent velocity fields through deep learning
The method is applied both for the resolution enhancement of wall fields and the estimation of wall-parallel velocity fields from coarse wall measurements of shear stress and pressure.
Fluid Dynamics
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