294 citations · 2.9k across the 83 of their papers we have counts for
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physics.flu-dyn2017
Generalized deconvolution procedure for structural modeling of turbulence
Omer San, Prakash Vedula
Approximate deconvolution forms a mathematical framework for the structural modeling of turbulence. The sub-filter scale flow quantities are typically recovered by using the Van Ci…
physics.flu-dyn2017★ 187 cited
A neural network approach for the blind deconvolution of turbulent flows
Romit Maulik, Omer San
We present a single-layer feedforward artificial neural network architecture trained through a supervised learning approach for the deconvolution of flow variables from their coars…
physics.flu-dyn2017★ 2 cited
Neural network closures for nonlinear model order reduction
Omer San, Romit Maulik
Many reduced order models are neither robust with respect to the parameter changes nor cost-effective enough for handling the nonlinear dependence of complex dynamical systems. In…