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20112026
most citedDifferentiable modeling to unify machine learning and physical models and advance Geosciences

466 citations

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10 papers · 1 filter

physics.flu-dyn2024★ 2 cited

Drag reduction utilizing a wall-attached ferrofluid film in turbulent channel flow

Marius M. Neamtu-Halic, Markus Holzner, Laura M. Stancanelli

This study explores the application of a wall-attached ferrofluid film to decrease skin friction drag in turbulent channel flow. We conduct experiments using water as a working flu…

physics.flu-dyn2022★ 19 cited

Universal alignment in turbulent pair dispersion

Ron Shnapp, Stefano Brizzolara, Marius M. Neamtu-Halic +2

Countless processes in nature and industry, from rain droplet nucleation to plankton interaction in the ocean, are intimately related to turbulent fluctuations of local concentrati…

physics.flu-dyn2021★ 5 cited

Sharp transition to strongly anomalous transport in unsaturated porous media

Andrés Velásquez-Parra, Tomás Aquino, Matthias Willmann +3

The simultaneous presence of liquid and gas in porous media increases flow heterogeneity compared to saturated flows. However, so far the impact of saturation on flow statistics an…

physics.flu-dyn2021★ 54 cited

BASEMENT v3: a modular freeware for river process modelling over multiple computational backends

Davide Vanzo, Samuel Peter, Lukas Vonwiller +5

Modelling river physical processes is of critical importance for flood protection, river management and restoration of riverine environments. Developments in algorithms and computa…

physics.flu-dyn2021★ 15 cited

Phases saturation control on mixing driven reactions in 3D porous media

Ishaan Markale, Gabriele M. Cimmarusti, Melanie M. Britton +1

Transported chemical reactions in unsaturated porous media are relevant across a range of environmental and industrial applications. Continuum scale dispersive models are often bas…

physics.flu-dyn2021★ 11 cited

Transition from shear-dominated to Rayleigh-Taylor turbulence

Stefano Brizzolara, Jean-Paul Mollicone, Maarten van Reeuwijk +2

Turbulent mixing layers in nature are often characterized by the presence of a mean shear and an unstable buoyancy gradient between two streams of different velocity. Depending on…

physics.flu-dyn2020★ 3 cited

Fiber Tracking Velocimetry for two-point statistics of turbulence

Stefano Brizzolara, Marco Edoardo Rosti, Stefano Olivieri +3

We propose and validate a novel experimental technique to measure two-point statistics of turbulent flows. It consists in spreading rigid fibers in the flow and tracking their posi…

physics.flu-dyn2020★ 16 cited

Role of vortical structures for enstrophy and scalar transport in flows with and without stable stratification

M. M. Neamtu-Halic, J. -P. Mollicone, M. van Reeuwijk +1

In this paper, we investigate the enstrophy dynamics in relation to objective Eulerian coherent structures (OECSs) and their impact on the enstrophy and scalar transport near the t…

physics.flu-dyn2020★ 12 cited

Efficient mate finding in planktonic copepods swimming in turbulence

François-Gaël Michalec, Itzhak Fouxon, Sami Souissi +1

Zooplankton live in dynamic environments where turbulence may challenge their limited swimming abilities. How this interferes with fundamental behavioral processes remains elusive.…

physics.flu-dyn2020★ 32 cited

Connecting the time evolution of the turbulence interface to coherent structures

M. M. Neamtu-Halic, D. Krug, J. P. Mollicone +3

The surface area of turbulent/non-turbulent interfaces (TNTIs) is continuously produced and destroyed via stretching and curvature/propagation effects. Here, the mechanisms respons…