E-LIB Suche - Ergebnisse für: Edeling, Wouter

1

Quantifying uncertainties in direct numerical simulations o..:

O'Connor, Joseph ; Laizet, Sylvain ; Wynn, Andrew..
Computers & Fluids. 268 (2024) - p. 106108 , 2024

Link: https://doi.org/10.1016/..

2

Global ranking of the sensitivity of interaction potential ..:

Edeling, Wouter ; Vassaux, Maxime ; Yang, Yiming...
npj Computational Materials. 10 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

3

On the Deep Active-Subspace Method:

Edeling, Wouter
SIAM/ASA Journal on Uncertainty Quantification. 11 (2023) 1 - p. 62-90 , 2023

Link: https://doi.org/10.1137/..

4

FabSim3: An automation toolkit for verified simulations usi..:

Groen, Derek ; Arabnejad, Hamid ; Suleimenova, Diana...
Computer Physics Communications. 283 (2023) - p. 108596 , 2023

Link: https://doi.org/10.1016/..

5

Automated Variance-Based Sensitivity Analysis of a Heteroge..:

, In: Computational Science – ICCS 2022; Lecture Notes in Computer Science,

Bronik, Kevin ; Roa, Werner Muller ; Vassaux, Maxime.. - p. 762-766 , 2022

Link: https://doi.org/10.1007/..

6

The impact of uncertainty on predictions of the CovidSim ep..:

Edeling, Wouter ; Arabnejad, Hamid ; Sinclair, Robbie...
Nature Computational Science. 1 (2021) 2 - p. 128-135 , 2021

Link: https://doi.org/10.1038/..

7

Ensembles Are Required to Handle Aleatoric and Parametric U..:

Vassaux, Maxime ; Wan, Shunzhou ; Edeling, Wouter.
Journal of Chemical Theory and Computation. 17 (2021) 8 - p. 5187-5197 , 2021

Link: https://doi.org/10.1021/..

8

Resampling with neural networks for stochastic parameteriza..:

Crommelin, Daan ; Edeling, Wouter
Physica D: Nonlinear Phenomena. 422 (2021) - p. 132894 , 2021

Link: https://doi.org/10.1016/..

9

Uncertainty quantification and sensitivity analysis of COVI..:

Gugole, Federica ; Coffeng, Luc E. ; Edeling, Wouter...
PLOS Computational Biology. 17 (2021) 9 - p. e1009355 , 2021

Link: https://doi.org/10.1371/..

10

Reducing data-driven dynamical subgrid scale models by phys..:

Edeling, Wouter ; Crommelin, Daan
Computers & Fluids. 201 (2020) - p. 104470 , 2020

Link: https://doi.org/10.1016/..

11

Building Confidence in Simulation: Applications of EasyVVUQ:

Wright, David W. ; Richardson, Robin A. ; Edeling, Wouter...
Advanced Theory and Simulations. 3 (2020) 8 - p. , 2020

Link: https://doi.org/10.1002/..

12

EasyVVUQ: A Library for Verification, Validation and Uncert..:

Richardson, Robin A. ; Wright, David W. ; Edeling, Wouter...
Journal of Open Research Software. 8 (2020) 1 - p. 11 , 2020

Link: https://doi.org/10.5334/..

13

Towards Data-Driven Dynamic Surrogate Models for Ocean Flow:

, In: Proceedings of the Platform for Advanced Scientific Computing Conference,

Edeling, Wouter ; Crommelin, Daan - p. 1-10 , 2019

Link: https://dl.acm.org/doi/1..

14

Eigenvector perturbation methodology for uncertainty quanti..:

Thompson, Roney L. ; Mishra, Aashwin Ananda ; Iaccarino, Gianluca..
Physical Review Fluids. 4 (2019) 4 - p. , 2019

Link: https://doi.org/10.1103/..

15

Introducing VECMAtk - Verification, Validation and Uncertai..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2019,

Groen, Derek ; Richardson, Robin A. ; Wright, David W.... - p. 479-492 , 2019

Link: https://doi.org/10.1007/..