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Dépôts avec texte intégral
131
Mots-clés
Computational Physics physicscomp-ph
Aorte
CIRCE
Aerodynamics
Surface pollution
Numerical simulation
Machine learning
Aeroelasticity
Transition to turbulence
Ahmed body POD symmetry breaking modes
Ahmed body
Direct numerical simulation
Large-eddy simulation
Gaussian process regression
Acoustic-gravity waves
Composite
Neural ODE
Physics-informed machine learning
Catchment modeling
Atmospheric dispersion
Uncertainty quantification
Proper orthogonal decomposition
Bi-local stability analysis
Artificial intelligence
Physics informed neural networks
Aeroelastic tailoring
Apprentissage statistique
Aorta
Free surface
Cavity flow
Boundary conditions
Parametric uncertainty
Adaptivity
Boundary-layer flow
Corps d'Ahmed
Computational Fluid Dynamics
Composite material
POD
Mécanique des fluides
Air pollutant dispersion
Fluid Dynamics physicsflu-dyn
Aéroélasticité
Bayesian calibration
Aircraft
Aeronautics
AERODYNAMIQUE
Acoustics and Ultrasonics
Atmospheric circulation
Buoyant jet
Co-kriging
Optimization
Atmospheric Boundary-Layer Flows
Apprentissage automatique
Fluidic pinball
Coherent structures
Calcul Haute Performance
Immersed boundaries
Aéronautique
Boundary layer stability
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Thrombosis
Computational fluid dynamics
Fluid Dynamics
Optimisation
Calage bayésien
Deep neural network
Plunging foil
Channel flow
Experiments
Turbulence
Surrogate models
Data assimilation
4D flow MRI
Atmospheric Dispersion
Assimilation de données
Proper Orthogonal Decomposition
Deep learning
Coefficient d'entraînement
Flow control
Modal decomposition
Lamination parameters
Rotating flow
Instabilities
Unsteady flows
Vibration environment
Multi-fidelity
Atmospheric processes
Surrogate modeling
Ahmed body POD switches
Compressible flows
Clogging
Combined Effect Tests
ADAPTATION MAILLAGE
FOS Physical sciences
Machine Learning
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Ahmed body numerical simulation POD wake control
Composite structures
Rotating flows
Cavité avec évents
LAst publications
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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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Antoine Faugaret, Laurent Martin Witkowski. Étude d'une condition aux limites simple pour un écoulement à surface libre en rotation dans une cavité cylindrique : effet de la variation du rapport de forme.. 25e Congrès Français de Mécanique, Nantes, 29 août-2 septembre 2022, Aug 2022, Nantes, France. ⟨hal-04280116⟩
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Guy Y. Cornejo Maceda, Yiqing Li, François Lusseyran, Marek Morzyński, Bernd R. Noack. Gradient-based machine learning control for the stabilization of the fluidic pinball and the open cavity experiment. IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark. ⟨hal-03895510⟩