Discovery of algebraic Reynolds-stress models using sparse symbolic regression M Schmelzer, RP Dwight, P Cinnella Flow, Turbulence and Combustion 104 (2), 579-603, 2020 | 196 | 2020 |
Bayesian predictions of Reynolds-averaged Navier–Stokes uncertainties using maximum a posteriori estimates WN Edeling, M Schmelzer, RP Dwight, P Cinnella AIAA Journal 56 (5), 2018-2029, 2018 | 28 | 2018 |
Bayesian Predictions of Reynolds-Averaged Navier–Stokes Uncertainties Using Maximum a Posteriori Estimates P CINNELLA, M Schmelzer, WN EDELING American Institute of Aeronautics and Astronautics (AIAA), 2018 | 28 | 2018 |
Customized data-driven RANS closures for bi-fidelity LES-RANS optimization Y Zhang, RP Dwight, M Schmelzer, JF Gomez, S Hickel, Z Han arXiv preprint arXiv:2004.03003, 2020 | 14 | 2020 |
Machine learning of algebraic stress models using deterministic symbolic regression M Schmelzer, RP Dwight, P Cinnella preprint, 2019 | 10 | 2019 |
Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo P Kumar, M Schmelzer, RP Dwight Computers & Fluids 201, 104420, 2020 | 8 | 2020 |
Data-driven deterministic symbolic regression of nonlinear stress-strain relation for rans turbulence modelling M Schmelzer, R Dwight, P Cinnella 2018 Fluid Dynamics Conference, 2900, 2018 | 6 | 2018 |
Symbolic Regression of Algebraic Stress-Strain Relation for RANS Turbulence Closure M Schmelzer, RP Dwight, P Cinnella | 2* | |
Estimation of Model Error Using Bayesian Model-Scenario Averaging with Maximum a Posterori-Estimates M Schmelzer, RP Dwight, W Edeling, P Cinnella Uncertainty Management for Robust Industrial Design in Aeronautics, 53-69, 2019 | | 2019 |
Uncertainties Identification and Quantification D Büche, S Klostermann, M Schmelzer Uncertainty Management for Robust Industrial Design in Aeronautics, 679-686, 2019 | | 2019 |