Heuristic a posteriori estimation of error due to dissipation in finite volume schemes and application to mesh adaptation. - Richard P. Dwight (J. Comput. Phys., 2008)

A Bayesian Approach to Physics-Based Reconstruction of Incompressible Flows. - Iliass Azijli; Richard P. Dwight; Hester Bijl (ENUMATH, 2013)

Speeding up Kriging through fast estimation of the hyperparameters in the frequency-domain. - J. H. S. de Baar; Richard P. Dwight; Hester Bijl (Comput. Geosci., 2013)

Adaptive Uncertainty Quantification for Computational Fluid Dynamics. - Richard P. Dwight; Jeroen A. S. Witteveen; Hester Bijl (Uncertainty Quantification in Computational Fluid Dynamics, 2013)

Predictive RANS simulations via Bayesian Model-Scenario Averaging. - W. N. Edeling; Pasquale Cinnella; Richard P. Dwight (J. Comput. Phys., 2014)

Bayesian estimates of parameter variability in the k-ε turbulence model. - W. N. Edeling; Pasquale Cinnella; Richard P. Dwight; Hester Bijl (J. Comput. Phys., 2014)

Simplex-stochastic collocation method with improved scalability. - W. N. Edeling; Richard P. Dwight; Pasquale Cinnella (J. Comput. Phys., 2016)

Non-intrusive uncertainty quantification using reduced cubature rules. - Laurent M. M. van den Bos; Barry Koren; Richard P. Dwight (J. Comput. Phys., 2017)

Stochastic turbulence modeling in RANS simulations via Multilevel Monte Carlo. - Prashant Kumar 001; Martin Schmelzer; Richard P. Dwight (CoRR, 2018)

Customized data-driven RANS closures for bi-fidelity LES-RANS optimization. - Yu Zhang; Richard P. Dwight; Martin Schmelzer; Javier F. Gómez; Zhong-hua Han; Stefan Hickel (J. Comput. Phys., 2021)