Wouter Edeling

According to our database, Wouter Edeling authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Energy-conserving neural network for turbulence closure modeling.

Toby van Gastelen, Wouter Edeling, Benjamin Sanderse

J. Comput. Phys., 2024

Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models.

Toby van Gastelen, Wouter Edeling, Benjamin Sanderse

CoRR, 2024

Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics.

Rik Hoekstra, Daan Crommelin, Wouter Edeling

CoRR, 2024

2023

On the Deep Active-Subspace Method.

Wouter Edeling

SIAM/ASA J. Uncertain. Quantification, March, 2023

FabSim3: An automation toolkit for verified simulations using high performance computing.

Derek Groen, Hamid Arabnejad, Diana Suleimenova, Wouter Edeling, Erwan Raffin, Yani Xue, Kevin Bronik, Nicolas Monnier, Peter V. Coveney

Comput. Phys. Commun., 2023

Sensitivity Analysis of High-Dimensional Models with Correlated Inputs.

Juraj Kardos, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk

CoRR, 2023

2022

Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System.

Kevin Bronik, Werner Muller Roa, Maxime Vassaux, Wouter Edeling, Peter V. Coveney

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model.

Federica Gugole, Luc E. Coffeng, Wouter Edeling, Benjamin Sanderse, Sake J. De Vlas, Daan Crommelin

PLoS Comput. Biol., 2021

The impact of uncertainty on predictions of the CovidSim epidemiological code.

Wouter Edeling, Hamid Arabnejad, Robert Sinclair, Diana Suleimenova, Krishnakumar Gopalakrishnan, Bartosz Bosak, Derek Groen, Imran Mahmood, Daan Crommelin, Peter V. Coveney

Nat. Comput. Sci., 2021

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit.

Diana Suleimenova, Hamid Arabnejad, Wouter Edeling, David Coster, Onnie O. Luk, Jalal Lakhlili, Vytautas Jancauskas, Michal Kulczewski, Lourens E. Veen, Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra, Daan Crommelin, Peter V. Coveney, Derek Groen

J. Comput. Sci., 2021

The Case for Uncertainty in COVID19 Predictions.

Wouter Edeling, Daan Crommelin

ERCIM News, 2021

2020

Tackling the Multiscale Challenge of Climate Modelling.

Daan Crommelin, Wouter Edeling, Fredrik Jansson

ERCIM News, 2020

VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations.

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

CoRR, 2020

Resampling with neural networks for stochastic parameterization in multiscale systems.

Daan Crommelin, Wouter Edeling

CoRR, 2020

2019

Towards Data-Driven Dynamic Surrogate Models for Ocean Flow.

Wouter Edeling, Daan Crommelin

Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations.

Derek Groen, Robin A. Richardson, David W. Wright, Vytautas Jancauskas, Robert Sinclair, Paul Karlshoefer, Maxime Vassaux, Hamid Arabnejad, Tomasz Piontek, Piotr Kopta, Bartosz Bosak, Jalal Lakhlili, Olivier Hoenen, Diana Suleimenova, Wouter Edeling, Daan Crommelin, Anna Nikishova, Peter V. Coveney

Proceedings of the Computational Science - ICCS 2019, 2019