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20242026
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physics.flu-dyn2024

A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks

Graham Pash, Malik Hassanaly, Shashank Yellapantula

While many physics-based closure model forms have been posited for the sub-filter scale (SFS) in large eddy simulation (LES), vast amounts of data available from direct numerical s…