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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21086
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dc.contributor.authorWright, DW-
dc.contributor.authorRichardson, RA-
dc.contributor.authorEdeling, W-
dc.contributor.authorLakhlili, J-
dc.contributor.authorSinclair, RC-
dc.contributor.authorJancauskas, V-
dc.contributor.authorSuleimenova, D-
dc.contributor.authorBosak, B-
dc.contributor.authorKulczewski, M-
dc.contributor.authorPiontek, T-
dc.contributor.authorKopta, P-
dc.contributor.authorChirca, I-
dc.contributor.authorArabnejad, H-
dc.contributor.authorLuk, OO-
dc.contributor.authorHoenen, O-
dc.contributor.authorWęglarz, J-
dc.contributor.authorCrommelin, D-
dc.contributor.authorGroen, D-
dc.contributor.authorCoveney, PV-
dc.date.accessioned2020-06-26T00:32:36Z-
dc.date.available2020-06-26T00:32:36Z-
dc.date.issued2020-06-15-
dc.identifier1900246-
dc.identifier.citationWright, 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.201900246en_US
dc.identifier.issn2513-0390-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/21086-
dc.description.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.en_US
dc.description.sponsorshipHorizon 2020 Framework Programme. Grant Number: 800925; Engineering and Physical Sciences Research Councilen_US
dc.format.extent1 - 22-
dc.languageen-
dc.language.isoenen_US
dc.publisherWILEY-VCH Verlag GmbH & Co.en_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjecthigh‐performance computingen_US
dc.subjectmultiscale simulationsen_US
dc.subjectuncertainty quantificationen_US
dc.titleBuilding Confidence in Simulation: Applications of EasyVVUQen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1002/adts.201900246-
dc.relation.isPartOfAdvanced Theory and Simulations-
pubs.publication-statusPublished online-
dc.identifier.eissn2513-0390-
Appears in Collections:Dept of Computer Science Research Papers

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