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

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

physics.flu-dyn2020★ 3 cited

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

Yang Liu, Dewei Wang, Xiaodong Sun +2

In this paper, we develop a machine learning-based Bayesian approach to inversely quantify and reduce the uncertainties of the two-fluid model-based multiphase computational fluid…