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physics.flu-dyn2025
Bayesian calibration of bubble size dynamics applied to CO2 gas fermenters
Malik Hassanaly, John M. Parra-Alvarez, Mohammad J. Rahimi +2
To accelerate the scale-up of gaseous CO2 fermentation reactors, computational models need to predict gas-to-liquid mass transfer which requires capturing the bubble size dynamics,…
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…
physics.flu-dyn2024
Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms
Malik Hassanaly, Nicholas T. Wimer, Anne Felden +5
The Quasi-Steady State Approximation (QSSA) can be an effective tool for reducing the size and stiffness of chemical mechanisms for implementation in computational reacting flow so…