Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. - Derek Groen; Robin A. Richardson; David W. Wright 001; Vytautas Jancauskas; Robert Sinclair; Paul Karlshoefer; Maxime Vassaux; Hamid Arabnejad; Tomasz Piontek; Piotr Kopta; Bartosz Bosak; Jalal Lakhlili; et al. (ICCS (4), 2019)

Towards Data-Driven Dynamic Surrogate Models for Ocean Flow. - Wouter Edeling; Daan Crommelin (PASC, 2019)

Resampling with neural networks for stochastic parameterization in multiscale systems. - Daan Crommelin; Wouter Edeling (CoRR, 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; et al. (CoRR, 2020)

Tackling the Multiscale Challenge of Climate Modelling. - Daan Crommelin; Wouter Edeling; Fredrik Jansson (ERCIM News, 2020)

The Case for Uncertainty in COVID19 Predictions. - Wouter Edeling; Daan Crommelin (ERCIM News, 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; et al. (J. Comput. Sci., 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)

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)

Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System. - Kevin Bronik; Werner Muller Roa; Maxime Vassaux; Wouter Edeling; Peter V. Coveney (ICCS (4), 2022)

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)

On the Deep Active-Subspace Method. - Wouter Edeling (SIAM/ASA J. Uncertain. Quantification, 2023)

Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics. - Rik Hoekstra; Daan Crommelin; Wouter Edeling (CoRR, 2024)

Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models. - Toby van Gastelen; Wouter Edeling; Benjamin Sanderse (CoRR, 2024)

Energy-conserving neural network for turbulence closure modeling. - Toby van Gastelen; Wouter Edeling; Benjamin Sanderse (J. Comput. Phys., 2024)

Sensitivity analysis of high-dimensional models with correlated inputs. - Juraj Kardos; Wouter Edeling; Diana Suleimenova; Derek Groen; Olaf Schenk (J. Comput. Sci., 2025)

Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES. - Toby van Gastelen; Wouter Edeling; Benjamin Sanderse (CoRR, 2025)