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Dépôts avec texte intégral
134
Mots-clés
Flow control
Lamination parameters
Machine Learning
Ahmed body
Machine learning
Dynamical Systems
Uncertainty quantification
Coherent structures
Atmospheric Dispersion
Acoustics and Ultrasonics
Ahmed body numerical simulation POD wake control
Multi-fidelity
Air pollutant dispersion
Apprentissage automatique
Plunging foil
Data assimilation
Surrogate modeling
Atmospheric circulation
Proper Orthogonal Decomposition
Thrombosis
Corps d'Ahmed
Immersed boundaries
Proper orthogonal decomposition
Boundary conditions
Combined Effect Tests
Rotating flows
Apprentissage statistique
Channel flow
Physics-informed machine learning
Mécanique des fluides
Aircraft
Composite
Deep Learning
Clogging
Climat
Experiments
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
ADAPTATION MAILLAGE
Atmospheric Boundary-Layer Flows
Buoyant jet
Allocation de Dirichlet
Gaussian process regression
Boundary-layer flow
Calcul Haute Performance
Fluid Dynamics
Aéroélasticité
Boundary layer stability
AERODYNAMIQUE
Parametric uncertainty
Climate
Large-eddy simulation
Aeroelastic tailoring
Unsteady flows
Fluid Dynamics physicsflu-dyn
Co-kriging
Assimilation de données
Composite material
Instabilities
Transition to turbulence
Apprentissage profond
Vibration environment
Aeroelasticity
Modal decomposition
Bi-local stability analysis
Ahmed body POD switches
Surrogate models
Calage bayésien
Atmospheric processes
Coefficient d'entraînement
Partially observed systems
CIRCE
Cavité avec évents
Turbulence
FOS Physical sciences
Physics informed neural networks
Aéronautique
Computational Fluid Dynamics
Delay Differential Equations
Aorta
Optimization
4D flow MRI
Adaptivity
Acoustic-gravity waves
Bayesian calibration
Neural ODE
Aeronautics
Aorte
Artificial intelligence
Direct numerical simulation
Fluidic pinball
Ahmed body POD symmetry breaking modes
Cavity flow
Aerodynamics
Deep neural network
POD
Catchment modeling
Deep learning
Atmospheric dispersion
Numerical simulation
Optimisation
LAst publications
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Jai Kumar, Anne Sergent, Francesca Chillà, Julien Salort, Didier Lucor. Bridging Experimental shadowgraphs and DNS in Turbulent Convection Using physically-informed U-Net. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom. ⟨hal-04924440⟩
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Marie-Christine Volk, Didier Lucor, Anne Sergent, Michael Mommert, Christian Bauer, et al.. A PINN Methodology for Temperature Field Inference in the PIV Measurement Plane: Case of Rayleigh-Bénard Convection. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom. ⟨hal-04924426⟩
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Soufiane Mrini, Anne Sergent, Francesca Chillà, Julien Salort, Didier Lucor. Addressing turbulent convection experimental data challenges in PINNs with appropriate physical sampling. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom. ⟨hal-04924450⟩
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Grégory Bana, Fabrice Lamadie, Sophie Charton, Tojonirina Randriamanantena, Didier Lucor, et al.. BYG-drop: a tool for enhanced droplet detection in liquid–liquid systems through machine learning and synthetic imaging. Frontiers in Chemical Engineering, 2024, 6, pp.1415453. ⟨10.3389/fceng.2024.1415453⟩. ⟨hal-04676144⟩
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Kevin Bouaou, Thomas Dietenbeck, Gilles Soulat, Ioannis Bargiotas, Sophia Houriez--Gombaud- Saintonge, et al.. 4D flow MRI aortic cross-sectional pressure changes and their associations with flow patterns in health and aneurysm. Journal of Cardiovascular Magnetic Resonance, 2024, 26, pp.101030. ⟨10.1016/j.jocmr.2024.101030⟩. ⟨hal-04479210⟩
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Vincent Chabridon, Edgar Jaber, Emmanuel Remy, Michaël Baudin, Didier Lucor, et al.. Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators. International Journal for Uncertainty Quantification, 2024, 15 (1), pp. 27-45. ⟨10.1615/Int.J.UncertaintyQuantification.2024051489⟩. ⟨hal-04381960v2⟩
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Roger Ballester Claret, Ludovic Coelho, Christian Fagiano, Cédric Julien, Didier Lucor, et al.. Reliability based optimisation of composite plates under aeroelastic constraints via adapted surrogate modelling and genetic algorithms. Composite Structures, 2024, 347, pp.118461. ⟨10.1016/j.compstruct.2024.118461⟩. ⟨hal-04671263⟩
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Rahul Sundar, Didier Lucor, Sunetra Sarkar. Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients. 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), Dec 2023, Jodhpur, France. ⟨hal-04463178⟩
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François Lusseyran, Guy Y. Cornejo Maceda, Eliott Varon, Bernd R. Noack. On open cavity flow control in the age of artificial intelligence. From the nonlinear dynamical systems theory to observational chaos, Christophe Letellier; Sylvain Mangiarotti; Denisse Sciamarella, Oct 2023, Toulouse, France. ⟨hal-04476406⟩
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Bastien Nony, Mélanie C. Rochoux, Thomas Jaravel, Didier Lucor. Reduced-Order Model for Microscale Atmospheric Dispersion Combining Multi-Fidelity LES and RANS Data. ECCOMAS Proceedia, UNCECOMP 2023, M. Papadrakakis, V. Papadopoulos, G. Stefanou, Jun 2023, Athenes, Grece, Greece. ⟨10.7712/120223.10337.19817⟩. ⟨hal-04310899⟩
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Stéphanie Pellerin, Bérengère Podvin, Yann Fraigneau, Guillaume Bonnavion, Olivier Cadot. Near wake of an Ahmed body: analysis of switches and base pressure-velocity relationship. Fifth international conference in numerical and experimental aerodynamics of, road vehicles and trains (Aerovehicles 5), Jun 2023, Poitiers, France. ⟨hal-04406619⟩
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Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Operator learning of RANS equations: a Graph Neural Network closure model. The mathematical and statistical foundation of future data-driven engineering -- Computational Challenges and Emerging Tools, Apr 2023, Cambridge, United Kingdom. ⟨hal-04407775⟩
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Michele Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin. Curriculum learning for data-driven modeling of dynamical systems. European Physical Journal E: Soft matter and biological physics, 2023, 46 (3), pp.12. ⟨10.1140/epje/s10189-023-00269-8⟩. ⟨hal-04291002⟩
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Riccardo Cocci, Alberto Ghione, Lucia Sargentini, Guillaume Damblin, Didier D Lucor. 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, 195 (123162), pp.123162. ⟨10.1016/j.ijheatmasstransfer.2022.123162⟩. ⟨hal-03697625⟩
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