Master thesis on: Predicting the dynamics of coherent structures in turbulence through deep learning
Master thesis on: Predicting the dynamics of coherent structures in turbulence through deep learning This project aims at using data-driven methods, in particular based on deep learning, to study the dynamics of the coherent structures in turbulent flows. We will focus on intense Reynolds-stress events and on vortical structures, and we will consider canonical wall-bounded …