Extending turbulence model uncertainty quantification using machine learning. - Marcel Matha; Christian Morsbach (CoRR, 2022)

Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification. - Marcel Matha; Karsten Kucharczyk; Christian Morsbach (CoRR, 2022)

Improved self-consistency of the Reynolds stress tensor eigenspace perturbation for Uncertainty Quantification. - Marcel Matha; Christian Morsbach (CoRR, 2023)

Physics-constrained Random Forests for Turbulence Model Uncertainty Estimation. - Marcel Matha; Christian Morsbach (CoRR, 2023)