Loading...
Dépôts avec texte intégral
135
Mots-clés
Cavité avec évents
Aeroelasticity
Fluidic pinball
Physics informed neural networks
Cavity flow
Dynamical Systems
Computational Fluid Dynamics
Aéroélasticité
Ahmed body
Transition to turbulence
Partially observed systems
Ahmed body numerical simulation POD wake control
Mécanique des fluides
Lamination parameters
Thrombosis
POD
FOS Physical sciences
Apprentissage statistique
Turbulence
ADAPTATION MAILLAGE
Coherent structures
Channel flow
Boundary-layer flow
Aerodynamics
Unsteady flows
Adaptivity
Atmospheric dispersion
Aorta
Deep neural network
Immersed boundaries
Air pollutant dispersion
Deep Learning
AERODYNAMIQUE
4D flow MRI
Rotating flows
Optimisation
Allocation de Dirichlet
Gaussian process regression
Delay Differential Equations
Aircraft
Apprentissage automatique informé par la physique
Optimization
Data assimilation
Parametric uncertainty
Atmospheric processes
Calcul Haute Performance
Neural ODE
Surrogate modeling
Catchment modeling
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Bi-local stability analysis
Apprentissage profond
Physics-informed machine learning
Modal decomposition
Proper orthogonal decomposition
Apprentissage automatique
Aéronautique
Coefficient d'entraînement
Flow control
Climat
Acoustic-gravity waves
NREL 5MW wind turbine
Uncertainty quantification
Numerical simulation
Aorte
Buoyant jet
Atmospheric Dispersion
Fluid Dynamics physicsflu-dyn
Fluid Dynamics
Combined Effect Tests
Ahmed body POD symmetry breaking modes
Deep learning
Machine Learning
Assimilation de données
Atmospheric Boundary-Layer Flows
Vibration environment
Instabilities
CIRCE
Proper Orthogonal Decomposition
Boundary conditions
Artificial intelligence
Corps d'Ahmed
Aeronautics
Aeroelastic tailoring
Multi-fidelity
Bayesian calibration
Calage bayésien
Climate
Ahmed body POD switches
Experiments
Clogging
Plunging foil
Boundary layer stability
Acoustics and Ultrasonics
Atmospheric circulation
Machine learning
Large-eddy simulation
Direct numerical simulation
Surrogate models
Co-kriging
LAst publications
-
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⟩
-
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⟩
-
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⟩
-
-
-
-
-
-
-
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⟩
-
-
-
-
-
-
-
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⟩
-
-
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⟩
-
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⟩
-
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⟩
-
-
-
-
-
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⟩
-
-
-
-
-
-
-
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⟩
-
-
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⟩
-
-
-
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⟩
-
-
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⟩
-
-
-
-
-
-
-
-
-
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⟩
-