Towards the NASA UQ Challenge 2019: Systematically forward and inverse approaches for uncertainty propagation and quantification

The NASA Langley Multidisciplinary Uncertainty Quantification Challenge

NASA missions often involve the development of new vehicles and systems that must be designed to operate in harsh domains with a wide array of operating conditions. These missions involve high-consequence and safety-critical systems for which quantitative data is either very sparse or prohibitively expensive to collect. Limited heritage data may exist, but is also usually sparse and may not be ...

Forward and Backward Uncertainty Quantification in Optimization

This contribution gathers some of the ingredients presented during the Iranian Operational Research community gathering in Babolsar in 2019.It is a collection of several previous publications on how to set up an uncertainty quantification (UQ) cascade with ingredients of growing computational complexity for both forward and reverse uncertainty propagation.

A Bayesian Multilevel Framework for Uncertainty Characterization and the NASA Langley Multidisciplinary UQ Challenge

Uncertainty Quantification in Molecular Dynamics Simulations: Forward and Inverse Problem

Francesco Rizzi Sandia National Laboratory, Alburquerque, NM, USA Abstract Molecular dynamics (MD) is widely employed in both industrial and academic environments, playing a key role in the study of a variety of systems, ranging from liquids to solids, as well as biomolecules, such as proteins and nucleic acids (DNA, RNA). MD simulations provide a suitable and convenient method to explore the d...

SGEMS-UQ: An uncertainty quantification toolkit for SGEMS

While algorithms and methodologies to study uncertainty in the Earth Sciences are constantly evolving, there are currently few open-source integrated softwares that allows the general practitioners access to these developments. This paper presents SGEMS-UQ, a plugin for the SGEMS platform, that is used to perform distance-based uncertainty analysis on geostatistical simulations, and the resulti...