DATAFLOT
Showing results 1 to 12 of 250 in total
DATAFLOT : 1 to 12 of 250 in total
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Thèse
Michele Quattromini. Graph Neural Networks for fluid mechanics : data-assimilation and optimization. Machine Learning [cs.LG]. Université Paris-Saclay; Politecnico di Bari, 2024. English. ⟨NNT : 2024UPAST161⟩. ⟨tel-04964013⟩
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Thèse
Thibault Monsel. Deep Learning for Partially Observed Dynamical Systems. Discrete Mathematics [cs.DM]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG113⟩. ⟨tel-04952358⟩
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Article dans une revue
Yohann Duguet. Intermittency in Transitional Shear Flows. Entropy, 2021, 23 (3), pp.280. ⟨10.3390/e23030280⟩. ⟨hal-04938938⟩
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Thèse
Nemo Malhomme. Statistical learning for climate models. Machine Learning [stat.ML]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPAST165⟩. ⟨tel-04939186⟩
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Communication dans un congrès
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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Communication dans un congrès
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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Communication dans un congrès
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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