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Model assessment for direct contact condensation induced by a sub-cooled water jet in a circular pipe

International journal of heat and mass transfer, 2022-10, Vol.195 (123162), p.123162, Article 123162

2022

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Uncertainty quantification of inflow boundary condition and proximal arterial stiffness–coupled effect on pulse wave propagation in a vascular network

International journal for numerical methods in biomedical engineering, 2017-10, Vol.33 (10), p.n/a

2017

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Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding

Stochastic environmental research and risk assessment, 2022-03, Vol.36 (3), p.693-718

2022

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A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping

Mathematical geosciences, 2021, Vol.53 (8), p.1751-1780

2021

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Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

IEEE/CAA journal of automatica sinica, 2023-06, Vol.10 (6), p.1361-1387

2023

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Computational Analysis of Flow Structures in Turbulent Ventricular Blood Flow Associated With Mitral Valve Intervention

Frontiers in physiology, 2022-06, Vol.13, p.806534-806534

2022

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A stochastic view of isotropic turbulence decay

Journal of fluid mechanics, 2011-02, Vol.668, p.351-362

2011

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Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection

Journal of computational physics, 2022-05, Vol.456, p.111022, Article 111022

2022

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Cardiovascular Modeling With Adapted Parametric Inference

ESAIM. Proceedings and surveys, 2018, Vol.62, p.91-107

2018

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5.6 Aortic Pressure Behind Flow Disorganization in Aneurismal Aorta: A Magnetic Resonance Imaging Study

Artery research, 2019, Vol.25 (Suppl 1), p.S42-S42

2019

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Physics-informed neural networks modelling for systems with moving immersed boundaries: Application to an unsteady flow past a plunging foil

Journal of fluids and structures, 2024-03, Vol.125, p.104066, Article 104066

2024

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Multi-scale approach for reliability-based design optimization with metamodel upscaling

Structural and multidisciplinary optimization, 2023-09, Vol.66 (9)

2023

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Extension of the CIRCE methodology to improve the Inverse Uncertainty Quantification of several combined thermal-hydraulic models

Nuclear engineering and design, 2022-11, Vol.398, p.111974, Article 111974

2022

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Infrasound propagation in multiple-scale random media using generalized polynomial chaos

The Journal of the Acoustical Society of America, 2019-03, Vol.145 (3), p.1900-1900

2019

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A comprehensive Bayesian framework for the development, validation and uncertainty quantification of thermal-hydraulic models

Annals of nuclear energy, 2022-07, Vol.172, p.109029, Article 109029

2022

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Observation data compression for variational assimilation of dynamical systems

Journal of computational science, 2021-07, Vol.53, p.101405, Article 101405

2021

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Multi-scale approach for reliability-based design optimization with metamodel upscaling

Structural and multidisciplinary optimization, 2023-09, Vol.66 (9), p.205, Article 205

2023

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Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion

Stochastic environmental research and risk assessment, 2023-06, Vol.37 (6), p.2117-2144

2023

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A comprehensive Bayesian framework for the development, validation and uncertainty quantification of thermalhydraulic models

Annals of nuclear energy, 2022, Vol.172

2022

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Revisiting Tensor Basis Neural Network for Reynolds stress modeling: Application to plane channel and square duct flows

Computers & fluids, 2024-05, Vol.275, Article 106246

2024

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Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos

Journal of fluid mechanics, 2007-08, Vol.585, p.255-279

2007

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Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations

Journal of computational physics, 2018-12, Vol.374, p.384-412

2018

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Uncertainty quantification of a thrombosis model considering the clotting assay PFA-100

International journal for numerical methods in biomedical engineering, 2021

2021

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Uncertainty quantification for systems of conservation laws

Journal of computational physics, 2009-04, Vol.228 (7), p.2443-2467

2009

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Mono‐block and non‐matching multi‐block structured mesh adaptation based on aerodynamic functional total derivatives for RANS flow

International journal for numerical methods in fluids, 2017-04, Vol.83 (11), p.866-884

2017

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Model assessment for direct contact condensation induced by a sub-cooled water jet in a circular pipe

Uncertainty quantification of inflow boundary condition and proximal arterial stiffness–coupled effect on pulse wave propagation in a vascular network

Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding

A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

Computational Analysis of Flow Structures in Turbulent Ventricular Blood Flow Associated With Mitral Valve Intervention

A stochastic view of isotropic turbulence decay

Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection

Cardiovascular Modeling With Adapted Parametric Inference

5.6 Aortic Pressure Behind Flow Disorganization in Aneurismal Aorta: A Magnetic Resonance Imaging Study

Physics-informed neural networks modelling for systems with moving immersed boundaries: Application to an unsteady flow past a plunging foil

Multi-scale approach for reliability-based design optimization with metamodel upscaling

Extension of the CIRCE methodology to improve the Inverse Uncertainty Quantification of several combined thermal-hydraulic models

Infrasound propagation in multiple-scale random media using generalized polynomial chaos

A comprehensive Bayesian framework for the development, validation and uncertainty quantification of thermal-hydraulic models

Observation data compression for variational assimilation of dynamical systems

Multi-scale approach for reliability-based design optimization with metamodel upscaling

Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion

A comprehensive Bayesian framework for the development, validation and uncertainty quantification of thermalhydraulic models

Revisiting Tensor Basis Neural Network for Reynolds stress modeling: Application to plane channel and square duct flows

Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos

Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations

Uncertainty quantification of a thrombosis model considering the clotting assay PFA-100

Uncertainty quantification for systems of conservation laws

Mono‐block and non‐matching multi‐block structured mesh adaptation based on aerodynamic functional total derivatives for RANS flow

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