A fully connected neural network (NN) is used to develop a subgrid-scale (SGS) model
mapping the relation between the SGS stresses and filtered flow variables in a turbulent …

This study is concerned with accurately predicting the subgrid-scale (SGS) stress using an
artificial neural network (ANN) with a linear eddy-viscosity term and a nonlinear term as the …

The effects of sampling frequency on the efficacy of the POD technique for reconstructing the
flow field of a wind turbine wake are studied in a neutral atmospheric boundary layer (ABL) …

Fluid flows are everywhere. Consider, for example, rivers, the flow of air in the atmosphere
and the blood that is flowing through our veins. Most fluid flows are very chaotic, or turbulent …

A fully-connected neural network (NN) is used to develop a subgrid-scale model which
maps the relation between the subgrid-scale stress and filtered flow variable in a turbulent …