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Didier Lucor
CNRS research director and Deputy Director of the LISN lab on Paris-Saclay university campus in Orsay
62%
Open access
102
Documents
Current affiliations
- 1061259
- 1055806
Researcher identifiers
didier-lucor
-
0000-0003-4334-4586
- Google Scholar : https://scholar.google.com/citations?user=qCVFS6AAAAAJ&hl=en
- IdRef : 150876017
Web site
- https://perso.limsi.fr/lucor/
Presentation
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.
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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
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Data-driven physics-informed and immersed boundary aware surrogate modeling of unsteady flows past moving bodiesCFC2023 Cannes, Apr 2023, Cannes, France
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Reynolds Stress Anisotropy Tensor Predictions using Neural NetworksCFC2023 Cannes, Apr 2023, Cannes, France
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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
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Emulating parametrized blood clot simulations through model order reduction combined with deep learning techniquesCFC2023 Cannes, Apr 2023, Cannes, France
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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, Athens, Greece
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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
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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
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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, Athenes, Grece, Greece. ⟨10.7712/120223.10337.19817⟩
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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
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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
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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
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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, 83400 Hyères-les-Palmiers, France
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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
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Metamodelling for micro-scale atmospheric pollutant dispersion large-eddy simulationMascotNum Annual Conference, CNRS Centre Paul Langevin, Apr 2021, Aussois, France
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Towards the reduction of uncertainty in hydraulic modles for better flood forecastingSimhydro 21, Jun 2021, Nice, France
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Shape-oriented sensitivity analysis and data assimilation for wildland fire applicationsInternational EnKF workshop 2021, Jun 2021, online, France
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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, Athene, Greece
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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
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Uncertainty Quantification of Aeroelastic Parameters for the Design of Composite WingsWCCM & ECCOMAS Congress 2020, Jul 2020, Paris (online), France
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Metamodel-based Bayesian localization of infrasound sourcesAmerican Geophysical Union, Fall Meeting 2020, Dec 2020, Online, France
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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
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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
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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
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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
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Contribution and on-going research on sensitivity analysis and surrogate models at CERFACS with an application in 2D hydrodynamicsOpenTURNS Journee Utilisateurs, June, 7th 2019, Jun 2019, Paris Saclay, France
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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
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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⟩
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Acoustic propagation in random media using polynomial chaos expansionsAPS Division of Fluid Dynamics, Nov 2019, Seattle (USA), Washington, United States
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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
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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⟩
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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
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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
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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
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Mixture of polynomial chaos expansions for uncertainty propagationTelemac User Conférence, Oct 2019, Toulouse, France
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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
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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
Conference papers
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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
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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
Conference papers
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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
Conference papers
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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
Conference papers
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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
Conference papers
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TOWARDS A FRAMEWORK FOR PATIENT SPECIFIC SIMULATION OF MITRAL VALVE DISEASEESBiomech Conference 2019, Jul 2019, Vienna, Austria
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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⟩
Books
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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, 2013
Book sections
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Quantification of the effects of uncertainties in turbulent flows through generalized polynomial chaos13th European Turbulence Conference (ETC 13), 2011
Book sections
hal-01307214v1
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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
hal-03942178v1
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Relative Aortic Blood Pressure Using 4D Flow MRI: Associations with Age and Aortic TaperingProceedings hal-03942180v1 |