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Wouter Edeling
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2020 – today
- 2024
- [j6]Toby van Gastelen
, Wouter Edeling, Benjamin Sanderse:
Energy-conserving neural network for turbulence closure modeling. J. Comput. Phys. 508: 113003 (2024) - [i8]Rik Hoekstra, Daan Crommelin, Wouter Edeling:
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics. CoRR abs/2407.14132 (2024) - [i7]Toby van Gastelen, Wouter Edeling, Benjamin Sanderse:
Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models. CoRR abs/2409.08793 (2024) - 2023
- [j5]Derek Groen
FabSim3: An automation toolkit for verified simulations using high performance computing. Comput. Phys. Commun. 283: 108596 (2023) - [j4]Wouter Edeling:
On the Deep Active-Subspace Method. SIAM/ASA J. Uncertain. Quantification 11(1): 62-90 (2023) - [i6]Toby van Gastelen, Wouter Edeling, Benjamin Sanderse:
Energy-Conserving Neural Network for Turbulence Closure Modeling. CoRR abs/2301.13770 (2023) - [i5]Juraj Kardos, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk:
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs. CoRR abs/2306.00555 (2023) - 2022
- [c3]Kevin Bronik, Werner Muller Roa, Maxime Vassaux
Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System. ICCS (4) 2022: 762-766 - 2021
- [j3]Diana Suleimenova, Hamid Arabnejad, Wouter Edeling, David Coster, Onnie O. Luk, Jalal Lakhlili, Vytautas Jancauskas, Michal Kulczewski, Lourens E. Veen, Dongwei Ye
Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. J. Comput. Sci. 53: 101402 (2021) - [j2]Wouter Edeling, Hamid Arabnejad
The impact of uncertainty on predictions of the CovidSim epidemiological code. Nat. Comput. Sci. 1(2): 128-135 (2021) - [j1]Federica Gugole
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. PLoS Comput. Biol. 17(9) (2021) - [i4]Wouter Edeling, Daan Crommelin:
The Case for Uncertainty in COVID19 Predictions. ERCIM News 2021(124) (2021) - 2020
- [i3]Daan Crommelin, Wouter Edeling:
Resampling with neural networks for stochastic parameterization in multiscale systems. CoRR abs/2004.01457 (2020) - [i2]Derek Groen, Hamid Arabnejad, Vytautas Jancauskas, Wouter Edeling, Fredrik Jansson, Robin A. Richardson, Jalal Lakhlili, Linda van Veen, Bartosz Bosak, Piotr Kopta, D. W. Wright, Nicolas Monnier, Paul Karlshoefer, Diana Suleimenova, Robert Sinclair, Maxime Vassaux, Anna Nikishova, Mariusz Bieniek, Onnie O. Luk, Michal Kulczewski, Erwan Raffin, Daan Crommelin, Olivier Hoenen, David P. Coster, Tomasz Piontek, Peter V. Coveney:
VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations. CoRR abs/2010.03923 (2020) - [i1]Daan Crommelin, Wouter Edeling, Fredrik Jansson:
Tackling the Multiscale Challenge of Climate Modelling. ERCIM News 2020(121) (2020)
2010 – 2019
- 2019
- [c2]Derek Groen, Robin A. Richardson, David W. Wright, Vytautas Jancauskas, Robert Sinclair
Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. ICCS (4) 2019: 479-492 - [c1]Wouter Edeling, Daan Crommelin
Towards Data-Driven Dynamic Surrogate Models for Ocean Flow. PASC 2019: 3:1-3:10
Coauthor Index
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last updated on 2024-10-15 00:20 CEST by the dblp team
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