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  Gauthier Leclercq, François Lusseyran, Guillaume Dufour, Jean-Maxime Orlac'H. Étude expérimentale et numérique de l'effet thermique d'une décharge à barrière diélectrique. Journées scientifiques 2024 d'URSI-France, Mar 2024, Paris, France. pp.92-95. ⟨hal-04573776⟩
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  Nemo Malhomme, Bérengère Podvin, Davide Faranda, Lionel Mathelin. Evaluation of atmospheric circulation of CMIP6 models for extreme temperature events using Latent Dirichlet Allocation. 2024. ⟨hal-04484617⟩
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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, ⟨10.1016/j.jocmr.2024.101030⟩. ⟨hal-04479210⟩
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  Edgar Jaber, Vincent Blot, Nicolas Brunel, Vincent Chabridon, Emmanuel Remy, et al.. Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. 2024. ⟨hal-04389163⟩
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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, ⟨10.1615/Int.J.UncertaintyQuantification.2024051489⟩. ⟨hal-04381960v2⟩
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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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  Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Enhancing Data-Assimilation in CFD using Graph Neural Networks. 37th Conference on Neural Information Processing Systems (Neurips 2023), Dec 2023, New Orleans (LA), United States. ⟨hal-04407779⟩
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  Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Enhancing Data-Assimilation in CFD using Graph Neural Networks. 37th Conference on Neural Information Processing Systems (Neurips 2023), Dec 2023, La Nouvelle Orléans (LA), United States. ⟨hal-04319697⟩
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  Stéphane Février. Prediction of aircraft vibration environment using machine learning. Vibrations [physics.class-ph]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPAST181⟩. ⟨tel-04446590⟩
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  Alexandros Ens Alexakis, Sergio Chibbaro, Guillaume Michel. Fluctuation relations at large scales in three-dimensional hydrodynamic turbulence. EPL - Europhysics Letters, 2023, ⟨10.1209/0295-5075/ad0eec⟩. ⟨hal-04305111⟩
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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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  Sergio Chibbaro, Jair Reyes, Maurice Rossi, Alfredo Soldati, Francesco Zonta. Coherent structure modification by a shear acting at the surface of a turbulent open channel. The European Physical Journal Plus, 2023, 138 (9), pp.799. ⟨10.1140/epjp/s13360-023-04401-7⟩. ⟨hal-04308174⟩
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  Ludovic Coelho, Christian Fagiano, Cedric Julien, Nicolò Fabbiane, Didier Lucor. Multi-scale approach for reliability-based design optimization with metamodel upscaling. Structural and Multidisciplinary Optimization, 2023, 66 (9), pp.205. ⟨10.1007/s00158-023-03643-4⟩. ⟨hal-04310661⟩
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  Jiayi Cai, Pierre-Emmanuel Angeli, Jean-Marc Martinez, Guillaume Damblin, Didier Lucor. Reynolds stress anisotropy tensor predictions using neural networks. ETC18 - 18th European Turbulence Conference, Sep 2023, Valence, Spain. ⟨cea-04449768⟩
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  Onofrio Semeraro, Michele Alessandro Bucci, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin. Curriculum learning for data-driven modeling of dynamical systems. Dynamics Days Europe 2023, Sep 2023, Napoli, Italy. ⟨hal-04407784⟩
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  Stéphane Février, Stéphane Nachar, Lionel Mathelin, Frédéric Giordano, Bérengère Podvin. Data-Driven Model to Predict Aircraft Vibration Environment. AIAA Journal, 2023, 61 (10), pp.4610-4622. ⟨10.2514/1.J062735⟩. ⟨hal-04185185⟩
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  Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat. Neural State-Dependent Delay Differential Equations. 2023. ⟨hal-04125875v2⟩
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  Bastien X 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. ⟨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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  Kevin Doria, Anne Sergent, Lucor Didier. Temperature field inference using physics-informed neural networks in turbulent natural convection. 22nd IACM Computational Fluids Conference – CFC 2023, IACM, Apr 2023, Cannes, France. ⟨hal-04400813⟩
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  Stéphane Février, Stéphane Nachar, Lionel Mathelin, Frédéric Giordano, Bérengère Podvin. An overview of aircraft vibration environment prediction using machine learning. Computational Challenges and Emerging Tools Workshop, Apr 2023, Cambridge, United Kingdom. ⟨hal-04185152⟩
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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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  Ludovic Coelho. Reliability-based design optimization of composite laminates for aeroelastic applications. Mechanics [physics.med-ph]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPAST039⟩. ⟨tel-04137503⟩
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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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  Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Operator learning of RANS equations: a Graph Neural Network closure model. 2023. ⟨hal-04290982⟩
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  Bastien Nony. Reduced-order models under uncertainties for microscale atmospheric pollutant dispersion in urban areas : exploring learning algorithms for high-fidelity model emulation. Ocean, Atmosphere. Université Paul Sabatier - Toulouse III, 2023. English. ⟨NNT : 2023TOU30156⟩. ⟨tel-04390849⟩
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  Guy Y Cornejo Maceda, Eliott Varon, François Lusseyran, Bernd R Noack. Stabilization of a multi-frequency open cavity flow with gradient-enriched machine learning control. Journal of Fluid Mechanics, 2023, 955, pp.A20. ⟨10.1017/jfm.2022.1050⟩. ⟨hal-04114172⟩
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  Sibo Cheng, César Quilodrán-Casas, Said Ouala, Alban Farchi, Che Liu, et al.. Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. IEEE/CAA Journal of Automatica Sinica, In press, 10 (6), pp.1361-1387. ⟨10.1109/JAS.2023.123537⟩. ⟨hal-04039094⟩
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  Andrea Palumbo, Onofrio Semeraro, Jean-Christophe Robinet, Luigi de Luca. Boundary layer transition induced by low-speed synthetic jets. Physics of Fluids, 2022, 34, ⟨10.1063/5.0128798⟩. ⟨hal-03908267⟩
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  Frederic Moisy, Lucile Danion, Basile Dhote, Jules Andriamampianina, Wietze Herreman, et al.. Comment s'oriente un flotteur allongé dérivant dans une onde ?. 18èmes Journées de l'Hydrodynamique, Nov 2022, Poitiers, France. ⟨hal-04391801⟩