@misc{dd803d349f024d63a746d295263beb80,
title = "Iterative Workflow for Quantification and Minimization of Reduced Chemistry-Induced Uncertainties in Reacting Flow Simulation",
abstract = "Reduced chemistry models mitigate computational cost but introduce two sources of uncertainties in reacting flow simulation, including chemical information loss due to model reduction, and approximation errors due to non-optimal projection. We present an iterative workflow for quantification and minimization of reduced chemistry-induced uncertainties in reacting flow simulations.",
keywords = "chemistry, combustion, exascale, reacting flow simulations, uncertainty quantification",
author = "Hao-Wei Pang and Malik Hassanaly and Bruce Perry and Marc Day and William Green",
year = "2022",
language = "American English",
series = "Presented at the 39th International Symposium on Combustion, 24-29 July 2022, Vancouver, Canada",
publisher = "National Laboratory of the Rockies (NLR)",
address = "United States",
type = "Other",
}