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Wouter Edeling
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Bayesian estimates of parameter variability in the k–ε turbulence model
WN Edeling, P Cinnella, RP Dwight, H Bijl
Journal of Computational Physics 258, 73-94, 2014
2302014
Predictive RANS simulations via Bayesian model-scenario averaging
WN Edeling, P Cinnella, RP Dwight
Journal of Computational Physics 275, 65-91, 2014
1312014
The impact of uncertainty on predictions of the CovidSim epidemiological code
W Edeling, H Arabnejad, R Sinclair, D Suleimenova, K Gopalakrishnan, ...
Nature Computational Science 1 (2), 128-135, 2021
712021
EasyVVUQ: a library for verification, validation and uncertainty quantification in high performance computing
RA Richardson, DW Wright, W Edeling, V Jancauskas, J Lakhlili, ...
Journal of open research software 8 (1), 2020
472020
Data-free and data-driven RANS predictions with quantified uncertainty
WN Edeling, G Iaccarino, P Cinnella
Flow, Turbulence and Combustion 100, 593-616, 2018
462018
Eigenvector perturbation methodology for uncertainty quantification of turbulence models
RL Thompson, AA Mishra, G Iaccarino, W Edeling, L Sampaio
Physical Review Fluids 4 (4), 044603, 2019
352019
Ensembles are required to handle aleatoric and parametric uncertainty in molecular dynamics simulation
M Vassaux, S Wan, W Edeling, PV Coveney
Journal of chemical theory and computation 17 (8), 5187-5197, 2021
342021
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
312018
Simplex-stochastic collocation method with improved scalability
WN Edeling, RP Dwight, P Cinnella
Journal of Computational Physics 310, 301-328, 2016
302016
Building confidence in simulation: applications of EasyVVUQ
DW Wright, RA Richardson, W Edeling, J Lakhlili, RC Sinclair, ...
Advanced Theory and Simulations 3 (8), 1900246, 2020
282020
VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations
D Groen, H Arabnejad, V Jancauskas, WN Edeling, F Jansson, ...
Philosophical Transactions of the Royal Society A 379 (2197), 20200221, 2021
232021
Introducing vecmatk-verification, validation and uncertainty quantification for multiscale and hpc simulations
D Groen, RA Richardson, DW Wright, V Jancauskas, R Sinclair, ...
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
182019
Sensitivity-driven simulation development: a case study in forced migration
D Suleimenova, H Arabnejad, WN Edeling, D Groen
Philosophical Transactions of the Royal Society A 379 (2197), 20200077, 2021
152021
Reducing data-driven dynamical subgrid scale models by physical constraints
W Edeling, D Crommelin
Computers & Fluids 201, 104470, 2020
142020
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model
F Gugole, LE Coffeng, W Edeling, B Sanderse, SJ De Vlas, D Crommelin
PLoS computational biology 17 (9), e1009355, 2021
132021
Uncertainty quantification patterns for multiscale models
D Ye, L Veen, A Nikishova, J Lakhlili, W Edeling, OO Luk, ...
Philosophical Transactions of the Royal Society A 379 (2197), 20200072, 2021
112021
POD enriched boundary models and their optimal stabilisation
L Chen, WN Edeling, SJ Hulshoff
International Journal for Numerical Methods in Fluids 77 (2), 92-107, 2015
112015
Energy-conserving neural network for turbulence closure modeling
T van Gastelen, W Edeling, B Sanderse
Journal of Computational Physics 508, 113003, 2024
102024
FabSim3: An automation toolkit for verified simulations using high performance computing
D Groen, H Arabnejad, D Suleimenova, W Edeling, E Raffin, Y Xue, ...
Computer Physics Communications 283, 108596, 2023
92023
Resampling with neural networks for stochastic parameterization in multiscale systems
D Crommelin, W Edeling
Physica D: Nonlinear Phenomena 422, 132894, 2021
92021
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Articles 1–20