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Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments

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References

2011Bayesian uncertainty quantification applied to RANS turbulence models132 cited
2008A Bayesian calibration approach to the thermal problem132 cited
2018Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory131 cited
2009Validation of imprecise probability models107 cited
2017Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data75 cited

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2023Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach14 cited
2022Bayesian Inverse Uncertainty Quantification of the Physical Model Parameters for the Spallation Neutron Source First Target Station13 cited
2023Sparse moment quadrature for uncertainty modeling and quantification12 cited
2023

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Quantification and propagation of Aleatoric uncertainties in topological structures

11 cited