Use of machine learning tools in fluid mechanics for the data-driven reduction, reconstruction and prediction of a fluid flow fluctuating velocity field
Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes
Bayesian optimisation of RANS simulation with ensemble-based variational method in convergent-divergent channel
On combining linear stochastic estimation and proper orthogonal decomposition for flow reconstruction