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Building Confidence in Simulation: Applications of EasyVVUQ
- 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
- Subjects :
- Statistics and Probability
Numerical Analysis
Multidisciplinary
010504 meteorology & atmospheric sciences
Computer science
uncertainty quantification
high‐performance computing
high-performance computing
Python (programming language)
Supercomputer
01 natural sciences
Multiscale modeling
010305 fluids & plasmas
Workflow
multiscale simulations
Application areas
Modeling and Simulation
0103 physical sciences
Systems engineering
Uncertainty quantification
computer
0105 earth and related environmental sciences
computer.programming_language
Subjects
Details
- Language :
- English
- ISSN :
- 25130390
- Volume :
- 3
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Advanced Theory and Simulations
- Accession number :
- edsair.doi.dedup.....6b53550623a4d2daf5fbbe8c52e0dcd6