| A comparison of methods for introducing synthetic turbulence M Matha, C Morsbach, M Bergmann ECCOMAS--ECFD 2018-6th European Conference on Computational Mechanics …, 2018 | 13 | 2018 |
| Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification M Matha, K Kucharczyk, C Morsbach Computers & Fluids 255, 105837, 2023 | 8 | 2023 |
| Assessment of data-driven Reynolds stress tensor perturbations for uncertainty quantification of RANS turbulence models M Matha, K Kucharczyk, C Morsbach AIAA Aviation 2022 Forum, 3767, 2022 | 6 | 2022 |
| Extending turbulence model uncertainty quantification using machine learning M Matha, C Morsbach arXiv preprint arXiv:2202.01560, 2022 | 5 | 2022 |
| Assessment of Computational Fluid Dynamic Modeling of Multi-Jet Impingement Cooling and Validation With the Experiments S Tabassum, M Hilfer, RG Brakmann, C Morsbach, C Willert, M Matha, ... Turbo Expo: Power for Land, Sea, and Air 86045, V06BT15A011, 2022 | 3 | 2022 |
| Improved self-consistency of the Reynolds stress tensor eigenspace perturbation for uncertainty quantification M Matha, C Morsbach Physics of Fluids 35 (6), 2023 | 2 | 2023 |
| Applicability of machine learning in uncertainty quantification of turbulence models M Matha, K Kucharczyk arXiv preprint arXiv:2210.16358, 2022 | 2 | 2022 |
| Experimental and Numerical Investigation of a Multi-Jet Impingement Cooling Configuration M Schroll, J Klinner, M Müller, M Matha, M Hilfer, S Tabassum, ... | 2 | 2022 |
| Physically constrained eigenspace perturbation for turbulence model uncertainty estimation M Matha, C Morsbach arXiv preprint arXiv:2311.01355, 2023 | 1 | 2023 |
| Modellierung von Sekundärströmung in Axial-Verdichtern mit hoher Schaufelbelastung unter Berücksichtigung des Off-Design-Verhaltens B Geihe, M Matha, M Schuff Deutsches Zentrum für Luft-und Raumfahrt, 2020 | 1 | 2020 |
| Exploring turbulence model uncertainties in turbomachinery applications M Matha, C Morsbach APS Division of Fluid Dynamics Meeting Abstracts, R10. 009, 2020 | 1 | 2020 |
| Physically constrained eigenspace perturbation for turbulence model uncertainty estimation M Matha, C Morsbach Physics of Fluids 36 (2), 2024 | | 2024 |
| Physics-constrained Random Forests for Turbulence Model Uncertainty Estimation M Matha, C Morsbach arXiv preprint arXiv:2306.13370, 2023 | | 2023 |
| Impinging Jet with Highspeed TSP and Comparison to LES and PIV M Hilfer, C Klein, M Schroll, CE Willert, J Klinner, M Müller, M Matha, ... 8th German-Japanese Joint online Seminar: Molecular Imaging Technology for …, 2022 | | 2022 |
| Analysis of 3D separated flows in generic diffuser and multi-stage compressor configurations using differential Reynolds stress models C Morsbach, M Matha, E Kügeler | | 2021 |
| Numerische und experimentelle Untersuchungen von Scherschichten und Wirbeln bei adversem Druckgradienten unter Verwendung differentieller Reynoldsspannungsmodelle C Morsbach, M Matha, J Klinner, M Schroll, E Kügeler, C Willert | | 2020 |
| Implementierung und Analyse von Methoden zur Generierung synthetischer Turbulenz M Matha Universität Stuttgart, 2017 | | 2017 |
Christian WillertDLR Institut für Antriebstechnik, Deutsches Zentrum für Luft- und RaumfahrtVerified email at pivtec.com
