51 citations · 53 across the 5 of their papers we have counts for
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Comparison of Generative Learning Methods for Turbulence Surrogates
Claudia Drygala, Edmund Ross, Mohammad Sharifi Ghazijahani +3
Numerical simulations of turbulent flows present significant challenges in fluid dynamics due to their complexity and high computational cost. High resolution techniques such as Di…
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…
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…