4 citations · 6 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 2 cited
Applicability of machine learning in uncertainty quantification of turbulence models
Marcel Matha, Karsten Kucharczyk
White paper: The aim of this work is to apply and analyze machine learning methods for uncertainty quantification of turbulence models. In this work we investigate the classical an…
cs.CE2022★ 4 cited
Extending turbulence model uncertainty quantification using machine learning
Marcel Matha, Christian Morsbach
In order to achieve a more virtual design and certification process of jet engines in aviation industry, the uncertainty bounds for computational fluid dynamics have to be known. T…