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Xiaodong Sun · Study

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Xiaodong Sun

5 works· latest 2023· 3 institutionscluster: provisionalORCID 0000-0002-9852-160X

h-index5

i105

Citations240

Works here5

10

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23

Most cited in this library

Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments2021 · 73 citations
Probabilistic risk assessment modeling of digital instrumentation and control systems using two dynamic methodologies2010 · 60 citations
Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach2019 · 59 citations
Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments2019 · 34 citations
Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach2023 · 14 citations

Works

5 shown

Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach

Nuclear Technology·2023·4 authors·Open access

14citations

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

Reliability Engineering & System Safety·2021·3 authors·Open access

73citations

Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments

Nuclear Engineering and Design·2019·3 authors·Open access

34citations

Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach

International Journal of Heat and Mass Transfer·2019·4 authors·Open access

59citations

Probabilistic risk assessment modeling of digital instrumentation and control systems using two dynamic methodologies

Reliability Engineering & System Safety·2010·11 authors

60citations