Building Confidence in Simulation: Applications of EasyVVUQ

DW Wright and RA Richardson and W Edeling and J Lakhlili and RC Sinclair and V Jancauskas and D Suleimenova and B Bosak and M Kulczewski and T Piontek and P Kopta and I Chirca and H Arabnejad and OO Luk and O Hoenen and J Weglarz and D Crommelin and D Groen and PV Coveney, ADVANCED THEORY AND SIMULATIONS, 3, 1900246 (2020).

DOI: 10.1002/adts.201900246

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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