
Didier Lucor
- Laboratoire Interdisciplinaire des Sciences du Numérique (LISN)
- DAta science, TrAnsition, Fluid instabiLity, contrOl, Turbulence (DATAFLOT)
Présentation
Currently a research director at the French National Research Agency (CNRS) and deputy director of the LISN lab on Paris-Saclay campus in Orsay, France. I'm a member of the DATAFLOT (DAta science, TrAnsition, FLuid instabiLity, contrOl & Turbulence) research group of the Mechanical Engineering department. I received my PhD (2004) in Applied Math. from Brown University; was a postdoctoral fellow (2004-2005) in the dpt of Ocean Eng at MIT. My research interests relate to stochastic modeling and computational mechanics, with emphasis on: physics-informed statistical learning, reduced-order modeling, uncertainty quantification, data assimilation, sensitivity analysis and robust optimization. Applications in computational mechanics range from turbulence modeling, heat transfer, flow-structure interaction problems to biomechanics, environmental flows and fluid mechanics related to the energy sector.
Publications
Publications
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Bridging Experimental shadowgraphs and DNS in Turbulent Convection Using physically-informed U-NetJoint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom
Communication dans un congrès
hal-04924440
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Addressing turbulent convection experimental data challenges in PINNs with appropriate physical samplingJoint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom
Communication dans un congrès
hal-04924450
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A PINN Methodology for Temperature Field Inference in the PIV Measurement Plane: Case of Rayleigh-Bénard ConvectionJoint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom
Communication dans un congrès
hal-04924426
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Lagrangian Measurements and Physics-Informed Neural Network for Rayleigh-Bénard Flow Reconstruction26th International Congress of Theoretical and Applied Mechanics (ICTAM2024), Aug 2024, Daegu, South Korea
Communication dans un congrès
hal-04924332
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Aeroelastic reliability based optimisation of composite plates via dual-space surrogate modeling20th International Forum on Aeroelasticity and Structural Dynamics Conference (IFASD 2024), Jun 2024, La Haye, Netherlands. pp.17
Communication dans un congrès
hal-04645831
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Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), Dec 2023, Jodhpur, France
Communication dans un congrès
hal-04463178
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Reynolds Stress Anisotropy Tensor Predictions using Neural Networks22nd IACM Computational Fluids Conference – CFC 2023, Apr 2023, Cannes, France
Communication dans un congrès
hal-04460077
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Data-driven physics-informed and immersed boundary aware surrogate modeling of unsteady flows past moving bodies22nd IACM Computational Fluids Conference – CFC 2023, Apr 2023, Cannes, France
Communication dans un congrès
hal-04460055
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Emulating parametrized blood clot simulations through model order reduction combined with deep learning techniques22nd IACM Computational Fluids Conference – CFC 2023, Apr 2023, Cannes, France
Communication dans un congrès
hal-04460035
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Panaches turbulents en convection turbulente de Rayleigh-BénardConvection naturelle : aspects fondamentaux et applications, Journées d'étude de la Société Française de Thermique, Jul 2023, Orsay, France
Communication dans un congrès
hal-04401159
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Plumes and large scale circulation in turbulent thermal convection with a rough plateRBC 2023 - 9th International Conference on Rayleigh-Bénard Turbulence, Oct 2023, Xi'an, China
Communication dans un congrès
hal-04400263
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Multi-scale composite reliability-based design optimization for aeroelastic applications5th International Conference on Uncertainty Quantification in Computational Science and Engineering, Jun 2023, Athènes, Greece
Communication dans un congrès
hal-04463192
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Reduced-Order Model for Microscale Atmospheric Dispersion Combining Multi-Fidelity LES and RANS DataECCOMAS Proceedia, UNCECOMP 2023, M. Papadrakakis, V. Papadopoulos, G. Stefanou, Jun 2023, Athènes, Greece. ⟨10.7712/120223.10337.19817⟩
Communication dans un congrès
hal-04310899
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Physics-informed neural networks modeling of turbulent natural convectionPiAI Seminar Series: Physics informed AI in Plasma Science, Japan Society for the Promotion of Science - Osaka University - TAMU, Jan 2023, Webinaire, Japan
Communication dans un congrès
hal-04400143
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Temperature field inference using physics-informed neural networks in turbulent natural convection22nd IACM Computational Fluids Conference – CFC 2023, IACM, Apr 2023, Cannes, France
Communication dans un congrès
hal-04400813
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Gradient reliability-based design optimization of a composite plate through multi-scale design spacesInternational Forum on Aeroelasticity and Structural Dynamics IFASD 2022, Jun 2022, Madrid, Spain. pp.2563-2579
Communication dans un congrès
hal-04463058
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Adaptive Gaussian process surrogate modelling of large-eddy simulation for microscale atmospheric dispersion8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022, Jun 2022, Oslo, Norway
Communication dans un congrès
hal-04462966
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Super-résolution par apprentissage automatique guidé par la physique : évaluation pour la convection turbulente25ème Congrès Français de Mécanique (CFM 2022), AFM, Aug 2022, Nantes, France. pp.159-168
Communication dans un congrès
hal-04400566
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Optimisation de stratifiés composites sous contrainte fiabiliste à travers un double espace de designCSMA 2022 15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, Hyères-les-Palmiers, France
Communication dans un congrès
hal-03717677
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Metamodelling for micro-scale atmospheric pollutant dispersion large-eddy simulationMascotNum Annual Conference, CNRS Centre Paul Langevin, Apr 2021, Aussois, France
Communication dans un congrès
hal-03848430
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Towards the reduction of uncertainty in hydraulic modles for better flood forecastingSimhydro 21, Jun 2021, Nice, France
Communication dans un congrès
hal-04739507
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Tackling uncertainty in flood forecasting model via a machine-learning based- surrogate modelUNCECOMP2021, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2021, Athènes, Greece
Communication dans un congrès
hal-04739508
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Compound parametric metamodelling of large-eddy simulations for microscale atmospheric dispersion20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Jun 2021, Tartu, Estonia
Communication dans un congrès
hal-03443977
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Shape-oriented sensitivity analysis and data assimilation for wildland fire applicationsInternational EnKF workshop 2021, Jun 2021, online, France
Communication dans un congrès
hal-04739511
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Uncertainty Quantification of Aeroelastic Parameters for the Design of Composite WingsWCCM & ECCOMAS Congress 2020, Jul 2020, Paris, France
Communication dans un congrès
hal-04463129
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Réseaux de neurones informés par la physique : application à la convection turbulenteJournée de dynamique des fluides du plateau de Saclay, Feb 2020, Orsay, France
Communication dans un congrès
hal-04401239
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Physics/DNS-Informed DNN Surrogates of Turbulent Thermal Convection14th World Congress on Computational Mechanics (WCCM) ECCOMAS Congress 2020, ECCOMAS, Jul 2020, Paris, France
Communication dans un congrès
hal-04400889
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Assessing uncertainties in flood forecasts using a mixture of generalized polynomial chaos expansions2020 TELEMAC-MASCARET User Conference, 2020, Antwerp (on line), Belgium
Communication dans un congrès
hal-03444227
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Metamodel-based Bayesian localization of infrasound sourcesAmerican Geophysical Union, Fall Meeting 2020, Dec 2020, Online, France
Communication dans un congrès
hal-04456756
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Infrasound propagation in multiple-scale ran- dom media using generalized polynomial chaosThe Journal of the Acoustical Society of America, 2019, Online, United States. pp.1900-1900, ⟨10.1121/1.5101890⟩
Communication dans un congrès
hal-04459982
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Blood flow reduced-order modeling across macroscopic through mesoscopic scalesInternational Conference on Computational & Mathematical Biomedical Engineering, P. Nithiarasu, M. Ohta, and M. Oshima, Jun 2019, Sendai, Japan
Communication dans un congrès
hal-02397286
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Acoustic propagation in random media using polynomial chaos expansionsAPS Division of Fluid Dynamics, Nov 2019, Seattle (USA), Washington, United States
Communication dans un congrès
hal-04459999
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Sensitivity Analysis, Model Reduction and Parameters Estimation for Thrombosis Modeling for CFD2019 SIAM Conference on Computational Science and Engineering, Feb 2019, Washington, United States
Communication dans un congrès
hal-04456807
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Front Data Assimilation and Sensitivity Analysis for Data-Driven Wildland Fire Spread SimulationsInternational Fire Behavior and Fuels Conference, Apr 2019, Marseille, France
Communication dans un congrès
hal-02397312
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5.6 Aortic Pressure Behind Flow Disorganization in Aneurismal Aorta: a Magnetic Resonance Imaging StudyArtery Research, 2019, Budapest (Hungary)., Hungary. pp.S42, ⟨10.2991/artres.k.191224.035⟩
Communication dans un congrès
hal-03943714
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Iterative methods for improving error covariance modeling in variational assimilationInternational Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Manolis Papadrakakis; Vissarion Papadopoulos; Georgios Stefanou, Jun 2019, Crete, Greece
Communication dans un congrès
hal-02397315
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Mixture of polynomial chaos expansions for uncertainty propagationTelemac User Conférence, Oct 2019, Toulouse, France
Communication dans un congrès
hal-04730601
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Numerical Assessment ff Device-Related Thrombus Formation Triggered by the Contact System6th International Conference on Computational and Mathematical Biomedical Engineering – CMBE2019, 2019, Sendai, Japan. pp.75-78
Communication dans un congrès
hal-04456678
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Investigation of PDE-constrained deep neural networks for efficient flow field assimilationWorkshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, Sep 2019, Pise (Italie), Italy
Communication dans un congrès
hal-04400958
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Patient-specific finite element simulation of left ventricle hemodynamics and mitral valve disease based on echocardiographyWorld Congress of Biomechanics, Jul 2019, Dublin, Ireland
Communication dans un congrès
hal-02397313
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Emulating environmental modeling systems in presence of uncertainties: overview and challengesWorkshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, Pisa,11-13 September, Italy, Sep 2019, Pise, Italy
Communication dans un congrès
hal-04730609
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Uncertainty quantification in a two-dimensional river hydraulic modelInternational Conference on Uncertainty Quantification in Computational Sciences and Engineering, M. Papadrakakis, V. Papadopoulos, G. Stefanou, Jun 2019, Crete, Greece
Communication dans un congrès
hal-02397318
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Numerical assessment of device-related thrombus formation triggered by the contact systemInternational Conference on Computational & Mathematical Biomedical Engineering, P. Nithiarasu, M. Ohta, M. Oshima, Jun 2019, Sendai, Japan
Communication dans un congrès
hal-02397305
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PDE-Constrained Neural Network For Turbulent Rayleigh-Bénard ConvectionEuropean Numerical Mathematics and Advanced Applications Conference (ENUMATH2019), Sep 2019, Egmond aan Zee, Netherlands
Communication dans un congrès
hal-04400942
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Contribution and on-going research on sensitivity analysis and surrogate models at CERFACS with an application in 2D hydrodynamicsOpenTURNS Journée Utilisateurs, Jun 2019, Paris Saclay, France
Communication dans un congrès
hal-04730634
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Uncertainty quantification of inflow boundary condition effect on pulse wave propagation in human arterial networkCMBE15. 4th International Conference on Computational & Mathematical Biomedical Engineering, 2015, Cachan, France. pp.754-757
Communication dans un congrès
hal-02171831
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High Dimensional stochastic investigation of 2D RANS flow about an helicopter airfoilInternational Workshop on Numerical Prediction of Detached Flows, Oct 2014, Madrid, Spain
Communication dans un congrès
hal-01077350
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Towards a Framework for Patient Specific Simulation of Mitral Valve DiseaseESBiomech Conference 2019, Jul 2019, Vienna, Austria
Poster de conférence
hal-04456857
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Uncertainty Quantification in Computational Fluid DynamicsSpringer International Publishing, 92, 2013, Lecture Notes in Computational Science and Engineering, ⟨10.1007/978-3-319-00885-1⟩
Ouvrages
hal-04459090
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Robust uncertainty propagation in systems of conservation laws with the entropy closure method Uncertainty quantification in computational fluid dynamics, Springer, Heidelberg, pp.105-149, 2013, ⟨10.1007/978-3-319-00885-1_3⟩
Chapitre d'ouvrage
hal-01437645
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Quantification of the effects of uncertainties in turbulent flows through generalized polynomial chaos13th European Turbulence Conference (ETC 13), 2011
Chapitre d'ouvrage
hal-01307214
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Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging2019 Computing in Cardiology Conference, 2019, ⟨10.22489/CinC.2019.058⟩
Proceedings/Recueil des communications
hal-03942178
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Relative Aortic Blood Pressure Using 4D Flow MRI: Associations with Age and Aortic TaperingProceedings/Recueil des communications hal-03942180 v1 |