Building Confidence in Simulation: Applications of EasyVVUQ
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| Publication date | 08-2020 |
| Journal | Advanced Theory and Simulations |
| Article number | 1900246 |
| Volume | Issue number | 3 | 8 |
| Number of pages | 22 |
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| 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.
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| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1002/adts.201900246 |
| Other links | https://www.scopus.com/pages/publications/85086444734 |
| Downloads |
Building Confidence in Simulation
(Final published version)
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