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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doi.org/10.1002/adts.201900246
Advanced Theory and Simulations
Verified Exascale Computing for Multiscale Applications
Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands

Wright, D., Richardson, R., Edeling, W., Lakhlili, J., Sinclair, R., Jancauskas, V., Suleimenova, D., Bosak, B., Kulczewski, M., Piontek, T., Kopta, P., Chirca, I., Arabnejad, H., Luk, O., Hoenen, O., Węglarz, J., Crommelin, D., Groen, D.& Coveney, P. (2020). Building Confidence in Simulation: Applications of EasyVVUQ. Advanced Theory and Simulations, 3(8).https://doi.org/10.1002/adts.201900246