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Dépôts avec texte intégral
137
Mots-clés
Thrombosis
POD
Cavity flow
Atmospheric Boundary-Layer Flows
Boundary-layer flow
Aeroelasticity
Vibration environment
Aerodynamics
Deep Learning
AERODYNAMIQUE
Combined Effect Tests
Data assimilation
Boundary conditions
FOS Physical sciences
Proper Orthogonal Decomposition
Ahmed body POD switches
Assimilation de données
Cavité avec évents
Physics-informed machine learning
Aéronautique
Parametric uncertainty
Large-eddy simulation
Deep learning
Flow control
Aircraft
Bayesian calibration
Acoustic-gravity waves
Atmospheric circulation
4D flow MRI
Apprentissage statistique
Turbulence
Immersed boundaries
Atmospheric processes
Aeronautics
Instabilities
Modal decomposition
Aorta
ADAPTATION MAILLAGE
Calcul Haute Performance
Calage bayésien
Climate
Atmospheric dispersion
Optimization
Channel flow
Experiments
Rotating flows
Boundary layer stability
Transition to turbulence
Multi-fidelity
Fluidic pinball
Neural ODE
Ahmed body
Air pollutant dispersion
Partially observed systems
Surrogate models
Gaussian process regression
Optimisation
Direct numerical simulation
Ahmed body numerical simulation POD wake control
Allocation de Dirichlet
Co-kriging
Plunging foil
Acoustics and Ultrasonics
Aeroelastic tailoring
Uncertainty quantification
Computational Fluid Dynamics
Bi-local stability analysis
Climat
Coherent structures
Unsteady flows
Physics informed neural networks
Adaptivity
Fluid Dynamics physicsflu-dyn
Proper orthogonal decomposition
Fluid Dynamics
Aorte
Aéroélasticité
Corps d'Ahmed
Mécanique des fluides
Deep neural network
CIRCE
Machine learning
Apprentissage automatique
Free surface
Surrogate modeling
Ahmed body POD symmetry breaking modes
Lamination parameters
Composite
Clogging
Buoyant jet
Apprentissage profond
Numerical simulation
Delay Differential Equations
Catchment modeling
Machine Learning
Dynamical Systems
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Coefficient d'entraînement
Atmospheric Dispersion
Artificial intelligence
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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