Publication | Open Access
Building Confidence in Simulation: Applications of EasyVVUQ
40
Citations
24
References
2020
Year
EngineeringSimulation ModellingMonte Carlo MethodsClimate ModelingSimulationStochastic SimulationSimulation MethodologyData ScienceUncertainty QuantificationNumerical SimulationSimulation FrameworkSimulation WorkflowsNuclear Systems SimulationSystems EngineeringModeling And SimulationSystem SimulationSimulation LanguageMultiphysics SimulationEasyvvuq Python LibraryLarge-scale SimulationComputer ScienceAbstract ValidationRobust ModelingSoftware TestingSimulation Infrastructure
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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