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2020 – today
- 2021
[j7]Yu Zhang, Richard P. Dwight, Martin Schmelzer, Javier F. Gómez, Zhong-hua Han, Stefan Hickel
:
Customized data-driven RANS closures for bi-fidelity LES-RANS optimization. J. Comput. Phys. 432: 110153 (2021)
2010 – 2019
- 2018
- [i1]Prashant Kumar, Martin Schmelzer, Richard P. Dwight:
Stochastic turbulence modeling in RANS simulations via Multilevel Monte Carlo. CoRR abs/1811.00872 (2018) - 2017
- [j6]Laurent M. M. van den Bos, Barry Koren, Richard P. Dwight:
Non-intrusive uncertainty quantification using reduced cubature rules. J. Comput. Phys. 332: 418-445 (2017) - 2016
- [j5]W. N. Edeling, Richard P. Dwight, Pasquale Cinnella:
Simplex-stochastic collocation method with improved scalability. J. Comput. Phys. 310: 301-328 (2016) - 2014
- [j4]W. N. Edeling, Pasquale Cinnella, Richard P. Dwight, Hester Bijl:
Bayesian estimates of parameter variability in the k-ε turbulence model. J. Comput. Phys. 258: 73-94 (2014) - [j3]W. N. Edeling, Pasquale Cinnella, Richard P. Dwight:
Predictive RANS simulations via Bayesian Model-Scenario Averaging. J. Comput. Phys. 275: 65-91 (2014) - 2013
- [j2]J. H. S. de Baar, Richard P. Dwight, Hester Bijl:
Speeding up Kriging through fast estimation of the hyperparameters in the frequency-domain. Comput. Geosci. 54: 99-106 (2013) - [c1]Iliass Azijli, Richard P. Dwight, Hester Bijl:
A Bayesian Approach to Physics-Based Reconstruction of Incompressible Flows. ENUMATH 2013: 529-536 - [p1]Richard P. Dwight, Jeroen A. S. Witteveen, Hester Bijl:
Adaptive Uncertainty Quantification for Computational Fluid Dynamics. Uncertainty Quantification in Computational Fluid Dynamics 2013: 151-191
2000 – 2009
- 2008
- [j1]Richard P. Dwight:
Heuristic a posteriori estimation of error due to dissipation in finite volume schemes and application to mesh adaptation. J. Comput. Phys. 227(5): 2845-2863 (2008)
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