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20182022
most citedArtificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers

46 citations · 47 across the 6 of their papers we have counts for

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physics.flu-dyn2023

Characterization of a capillary driven flow in microgravity by means of optical technique

Domenico Fiorini, Louis Carbonnelle, Alessia Simonini +3

The motion of a gas-liquid interface along a solid wall is influenced by the capillary forces resulting from the interface's shape and its interaction with the solid, where it form…

physics.flu-dyn2023

Damping of three-dimensional waves on coating films dragged by moving substrates

David Barreiro-Villaverde, Anne Gosset, Marcos Lema +1

Paints and coatings often feature interfacial defects due to disturbances during the deposition process which, if they persist until solidification, worsen the product quality. In…

physics.flu-dyn2022

Analysis of an unsteady quasi-capillary channel flow with Time Resolved PIV and RBF-based super resolution

Manuel Ratz, Domenico Fiorini, Alessia Simonini +2

We investigate the behaviour of accelerating contact lines in an unsteady quasi-capillary channel flow. The configuration consists of a liquid column that moves along a vertical 2D…

physics.flu-dyn2022

Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers

Matilde Fiore, Lilla Koloszar, Miguel Alfonso Mendez +2

Liquid metals play a central role in new generation liquid metal cooled nuclear reactors, for which numerical investigations require the use of appropriate thermal turbulence model…

physics.flu-dyn20221 cited

Statistical Treatment, Fourier and Modal Decomposition

Miguel Alfonso Mendez

These are lecture notes for the lecture "Statistical Treatment, Fourier and Modal Decompositions", given at the VKI Lecture series "Fundamentals and Recent Advances in Particle Ima…

physics.flu-dyn202246 cited

Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers

J. Dominique, J. Van den Berghe, C. Schram +1

We analyse and compare various empirical models of wall pressure spectra beneath turbulent boundary layers and propose an alternative machine learning approach using Artificial Neu…