Year: 2020
Type: article
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.
Source: Advanced Theory and Simulations
Authors: David W. Wright, Robin A. Richardson, Wouter Edeling, Jalal Lakhlili, Robert C. Sinclair, Vytautas Jancauskas, Diana Suleimenova, Bartosz Bosak, Michal Kulczewski, Tomasz Piontek, Piotr Kopta, Irina Chirca, Hamid Arabnejad, Onnie O. Luk, Olivier Hoenen, Jan Węglarz, Daan Crommelin, Derek Groen, Peter V. Coveney
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,800
OpenAlex ID: W3036079255