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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-VCH Verlag GmbH & Co.
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. Advanced Theory and Simulations, 3, 1900246 (22 pp.). doi: 10.1002/adts.201900246
Abstract: © 2020 The Authors. 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.
ISSN: 2513-0390
Other Identifiers: 1900246
Appears in Collections:Dept of Computer Science Research Papers

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