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19982025
most citedDiscovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

260 citations

Showing 2019Show all

5 papers · 1 filter

physics.flu-dyn2019★ 49 cited

Data-driven modeling of the chaotic thermal convection in an annular thermosyphon

Jean-Christophe Loiseau

dentifying accurate and yet interpretable low-order models from data has gained a renewed interest over the past decade. In the present work, we illustrate how the combined use of…

physics.flu-dyn2019★ 11 cited

Boltzmann distribution of sediment transport

A. Abramian, O. Devauchelle, G. Seizilles +1

The coupling of sediment transport with the flow that drives it allows rivers to shape their own bed. Cross-stream fluxes of sediment play a crucial, yet poorly understood, role in…

physics.comp-ph2019★ 260 cited

Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

Martin Schmelzer, Richard P. Dwight, Paola Cinnella

** This article is published (open-access). ** A novel deterministic symbolic regression method SpaRTA (Sparse Regression of Turbulent Stress Anisotropy) is introduced to infer alg…

cond-mat.soft2019★ 17 cited

Soft electrowetting

Ranabir Dey, Mathijs van Gorcum, Frieder Mugele +1

Electrowetting is a commonly used tool to manipulate sessile drops on hydrophobic surfaces. By applying an external voltage over a liquid and a dielectric-coated surface, one achie…

physics.flu-dyn2019

Turbulent velocity measurements in high Reynolds cryogenic helium facilities at Service des Basses Temperatures (SBT)

Swapnil Kharche, Jean-Paul Moro, Christophe Baudet +4

Due to its very low viscosity, cryogenic helium has been used for years to generate high Reynolds turbulent flows. The measurement of velocity fluctuations in such high Reynolds fl…