Back to Search Start Over

Building Confidence in Simulation: Applications of EasyVVUQ

Authors :
Derek Groen
Hamid Arabnejad
Peter V. Coveney
Irina Chirca
Piotr Kopta
Michal Kulczewski
Robin A. Richardson
Daan Crommelin
Tomasz Piontek
Diana Suleimenova
Jan Węglarz
Bartosz Bosak
Jalal Lakhlili
O. O. Luk
David W. Wright
Wouter Edeling
O. Hoenen
Robert C. Sinclair
Vytautas Jancauskas
Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands
Analysis (KDV, FNWI)
Computational Science Lab (IVI, FNWI)
Source :
Advanced Theory and Simulations, 3(8), Advanced Theory and Simulations, 3(8):1900246. Wiley-VCH Verlag, Advanced Theory and Simulations
Publication Year :
2020

Abstract

© 2020 The Authors. 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. Horizon 2020 Framework Programme. Grant Number: 800925; Engineering and Physical Sciences Research Council

Details

Language :
English
ISSN :
25130390
Volume :
3
Issue :
8
Database :
OpenAIRE
Journal :
Advanced Theory and Simulations
Accession number :
edsair.doi.dedup.....6b53550623a4d2daf5fbbe8c52e0dcd6