Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21086
Title: Building Confidence in Simulation: Applications of EasyVVUQ
Authors: Wright, DW
Richardson, RA
Edeling, W
Lakhlili, J
Sinclair, RC
Jancauskas, V
Suleimenova, D
Bosak, B
Kulczewski, M
Piontek, T
Kopta, P
Chirca, I
Arabnejad, H
Luk, OO
Hoenen, O
Węglarz, J
Crommelin, D
Groen, D
Coveney, PV
Keywords: High‐performance computing;Multiscale simulations;Uncertainty quantification
Issue Date: 15-Jun-2020
Publisher: Wiley
Citation: Wright, D.W., Richardson, R.A., Edeling, W., Lakhlili, J., Sinclair, R.C., Jancauskas, V., Suleimenova, D., Bosak, B., Kulczewski, M., Piontek, T., Kopta, P., Chirca, I., Arabnejad, H., Luk, O.O., Hoenen, O., Węglarz, J., Crommelin, D., Groen, D. and Coveney, P.V. (2020), Building Confidence in Simulation: Applications of EasyVVUQ. Adv. Theory Simul
Abstract: Validation, verification, and uncertainty quantification (VVUQ) of simulation workflows are essential for building trust in simulation results, and their increased use in decision‐making processes. The EasyVVUQ Python library is designed to facilitate implementation of advanced VVUQ techniques in new or existing workflows, with a particular focus on high‐performance computing, middleware agnosticism, and multiscale modeling. Here, the application of EasyVVUQ to five very diverse application areas is demonstrated: materials properties, ocean circulation modeling, fusion reactors, forced human migration, and urban air quality prediction.
URI: http://bura.brunel.ac.uk/handle/2438/21086
DOI: http://dx.doi.org/10.1002/adts.201900246
ISSN: 2513-0390
2513-0390
Appears in Collections:Dept of Computer Science Research Papers

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