Dongwei Ye, Lourens Veen, Anna Nikishova, Jalal Lakhlili, Wouter Edeling, Onnie Luk, Valeria Krzhizhanovskaya and Alfons Hoekstra has published a new paper on uncertainty quantification patterns for multiscale models in Philosophical Transactions of the Royal Society A: Mathematical,

Physical and Engineering Sciences.Uncertainty quantification (UQ) is a key component when using computational models that involve uncertainties, e.g. in decision-making scenarios. In this work, we present uncertainty quantification patterns (UQPs) that are designed to support the analysis of uncertainty in coupled multi-scale and multi-domain applications. UQPs provide the basic building blocks to create tailored UQ for multiscale models. The UQPs are implemented as generic templates, which can then be customized and aggregated to create a dedicated UQ procedure for multiscale applications. We present the implementation of the UQPs with multiscale coupling toolkit Multiscale Coupling Library and Environment 3. Potential speed-up for UQPs has been derived as well. As a proof of concept, two examples of multiscale applications using UQPs are presented.

For more details please follow the link: https://doi.org/10.1098/rsta.2020.0072