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20152022
most citedFeedback Control of Turbulent Shear Flows by Genetic Programming

3 citations · 3 across the 2 of their papers we have counts for

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physics.flu-dyn2022

Prediction of resistance induced by surface complexity in lubricating layers: Application to super-hydrophobic surfaces

Noura Bettaieb, Marco Castagana, Pierre-Yves Passaggia +2

Super Hydrophobic (SH) coatings are widely used to mitigate drag in various applications. Numerous studies have demonstrated that the beneficial wall-slip effect produced by these…

physics.flu-dyn2018

On scaling of mass entrainment in separated shear layers: the footprint of the incoming boundary layer

Francesco Stella, Nicolas Mazellier, Azeddine Kourta

We experimentally investigate the effects on scaling of separating/reattaching flows of the ratio , where is the thickness at separation of the incoming boundary layer…

physics.flu-dyn2018

An Isotropic Porous Medium Approach to Drag Mitigation Disappearance in Super-Hydrophobic Falling Spheres

Marco Castagna, Nicolas Mazellier, Pierre-Yves Passaggia +1

In this Letter, the falling of super-hydrophobic spheres is investigated experimentally at low Reynolds numbers. In particular, we show that super-hydrophobic coatings become ineff…

physics.flu-dyn2018

Wake of super-hydrophobic falling spheres: influence of the air layer deformation

Marco Castagna, Nicolas Mazellier, Azeddine Kourta

We report an experimental investigation of the wake of free falling super-hydrophobic spheres. The mutual interaction between the air layer (plastron) encapsulating the super-hydro…

physics.flu-dyn20153 cited

Feedback Control of Turbulent Shear Flows by Genetic Programming

Thomas Duriez, Vladimir Parezanović, Kai von Krbek +14

Turbulent shear flows have triggered fundamental research in nonlinear dynamics, like transition scenarios, pattern formation and dynamical modeling. In particular, the control of…