activity
20172022
most citedCluster-based network model

59 citations · 95 across the 6 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn2022★ 14 cited

Timescales of dynamic stall development on a vertical-axis wind turbine blade

Sébastien Le Fouest, Daniel Fernex, Karen Mulleners

Vertical-axis wind turbines are great candidates to diversify wind energy technology, but their aerodynamic complexity limits industrial deployment. To improve the efficiency and l…

physics.data-an2020★ 1 cited

Cluster-based network modeling -- automated robust modeling of complex dynamical systems

Daniel Fernex, Bernd R. Noack, Richard Semaan

We propose a universal method for data-driven modeling of complex nonlinear dynamics from time-resolved snapshot data without prior knowledge. Complex nonlinear dynamics govern man…

physics.flu-dyn2020★ 59 cited

Cluster-based network model

Hao Li, Daniel Fernex, Richard Semaan +3

We propose an automatable data-driven methodology for robust nonlinear reduced-order modelling from time-resolved snapshot data. In the kinematical coarse-graining, the snapshots a…

physics.flu-dyn2019

Actuation response model from sparse data for wall turbulence drag reduction

Daniel Fernex, Richard Semaan, Marian Albers +3

We compute, model, and predict drag reduction of an actuated turbulent boundary layer at a momentum thickness based Reynolds number of Reθ = 1000. The actuation is performed using…

physics.flu-dyn2019

Drag Reduction and Energy Saving by Spanwise Traveling Transversal Surface Waves for Flat Plate Flow

Marian Albers, Pascal S. Meysonnat, Daniel Fernex +3

Wall-resolved large-eddy simulations are performed to study the impact of spanwise traveling transversal surface waves in zero-pressure gradient turbulent boundary layer flow. Eigh…

physics.flu-dyn2017★ 21 cited

Metric for attractor overlap

Rishabh Ishar, Eurika Kaiser, Marek Morzynski +6

We present the first general metric for attractor overlap (MAO) facilitating an unsupervised comparison of flow data sets. The starting point is two or more attractors, i.e., ensem…