Building Confidence in Simulation: Applications of EasyVVUQ
- Wright, D.W. (David)
- Richardson, R.A. (Robin)
- Edeling, W.N. (Wouter)
- Lakhlili, J. (Jalal)
- Sinclair, R. (Robert)
- Jancauskas, V. (Vytautas)
- Suleimenova, D. (Diana)
- Bosak, B. (Bartosz)
- Kulczewski, M. (Michal)
- Piontek, T. (Tomasz)
- Kopta, P. (Piotr)
- Chirca, I. (Irina)
- Arabnejad, H. (Hamid)
- Luk, O.O. (Onnie)
- Hoenen, O. (Olivier)
- Węglarz, J. (Jan)
- Crommelin, D.T. (Daan)
- Groen, D. (Derek)
- Coveney, P.V. (Peter)
DOIAbstract
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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