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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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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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Error covariance tuning in variational data assimilation: application to an operating hydrological model

Stochastic environmental research and risk assessment, 2021-05, Vol.35 (5), p.1019-1038

2021

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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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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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BYG-drop: a tool for enhanced droplet detection in liquid–liquid systems through machine learning and synthetic imaging

Frontiers in chemical engineering, 2024-08, Vol.6

2024

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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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Four-dimensional flow cardiovascular magnetic resonance aortic cross-sectional pressure changes and their associations with flow patterns in health and ascending thoracic aortic aneurysm

Journal of cardiovascular magnetic resonance, 2024-01, Vol.26 (1), p.101030-101030, Article 101030

2024

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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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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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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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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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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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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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Large scale analysis of three-dimensional turbulent von Kármán swirling flows

Physics of fluids (1994), 2024-10, Vol.36 (10)

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), p.205, Article 205

2023

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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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Reliability based optimisation of composite plates under aeroelastic constraints via adapted surrogate modelling and genetic algorithms

Composite structures, 2024-11, Vol.347, p.118461, Article 118461

2024

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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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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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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

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

Error covariance tuning in variational data assimilation: application to an operating hydrological model

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

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

BYG-drop: a tool for enhanced droplet detection in liquid–liquid systems through machine learning and synthetic imaging

A stochastic view of isotropic turbulence decay

Four-dimensional flow cardiovascular magnetic resonance aortic cross-sectional pressure changes and their associations with flow patterns in health and ascending thoracic aortic aneurysm

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

Cardiovascular Modeling With Adapted Parametric Inference

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

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

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

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

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

Large scale analysis of three-dimensional turbulent von Kármán swirling flows

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

Observation data compression for variational assimilation of dynamical systems

Reliability based optimisation of composite plates under aeroelastic constraints via adapted surrogate modelling and genetic algorithms

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

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

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