10 citations · 12 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★ 10 cited
Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification
Marcel Matha, Karsten Kucharczyk, Christian Morsbach
In order to achieve a virtual certification process and robust designs for turbomachinery, the uncertainty bounds for Computational Fluid Dynamics have to be known. The formulation…