activity
20162026
most citedGenerative Modeling of Turbulence

51 citations · 82 across the 4 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2026

Influence of Prandtl number on heat transfer over a permeable wall

Wojciech Sadowski, Hakan Demir, Francesca di Mare

The work considers a fully turbulent flow with heat transfer in a channel half-filled with an array of cubes based on the work of Breugem and Boersma (2005) and Chandesris et al. (…

physics.flu-dyn2023★ 1 cited

Generalization capabilities of conditional GAN for turbulent flow under changes of geometry

Claudia Drygala, Francesca di Mare, Hanno Gottschalk

Turbulent flow consists of structures with a wide range of spatial and temporal scales which are hard to resolve numerically. Classical numerical methods as the Large Eddy Simulati…

physics.flu-dyn2021★ 51 cited

Generative Modeling of Turbulence

Claudia Drygala, Benjamin Winhart, Francesca di Mare +1

We present a mathematically well founded approach for the synthetic modeling of turbulent flows using generative adversarial networks (GAN). Based on the analysis of chaotic, deter…

physics.flu-dyn2021★ 12 cited

Large eddy simulation of flow in porous media: Analysis of the commutation error of the double-averaged equations

W. Sadowski, M. Sayyari, F. di Mare +1

The continuum approach employing porous media models is a robust and efficient solution method in the area of the simulation of fixed-bed reactors. This paper applies the double-av…

physics.flu-dyn2016★ 18 cited

A fast algorithm for a three-dimensional synthetic model of intermittent turbulence

Francesco Malara, Francesca Di Mare, Giuseppina Nigro +1

Synthetic turbulence models are a useful tool that provide realistic representations of turbulence, necessary to test theoretical results, to serve as background fields in some num…