Building Confidence in Simulation: Applications of EasyVVUQ

Open Access
Authors
  • D.W. Wright
  • R.A. Richardson
  • W. Edeling
  • J. Lakhlili
  • R.C. Sinclair
  • V. Jancauskas
  • D. Suleimenova
  • B. Bosak
  • M. Kulczewski
  • T. Piontek
  • P. Kopta
  • I. Chirca
  • H. Arabnejad
  • O.O. Luk
  • O. Hoenen
  • J. WÄ™glarz
  • D. Crommelin
  • D. Groen
  • P.V. Coveney
Publication date 08-2020
Journal Advanced Theory and Simulations
Article number 1900246
Volume | Issue number 3 | 8
Number of pages 22
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
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.
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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