Communication dans un congrès
DATAFLOT
Showing results 1 to 12 of 262 in total
DATAFLOT : 1 to 12 of 262 in total
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Communication dans un congrès
Riccardo Margheritti, Onofrio Semeraro, Maurizio Quadrio, Giacomo Boracchi. Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow Fields. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, Sep 2025, Porto, Portugal. pp.3-20, ⟨10.1007/978-3-032-06129-4_1⟩. ⟨hal-05379496⟩
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Article dans une revue
Daniele Noto, Alexandre Allauzen, Sergio Chibbaro. An efficient training method to learn a model of turbulence. The European Physical Journal Plus, 2024, 139 (3), pp.298. ⟨10.1140/epjp/s13360-024-05056-8⟩. ⟨hal-05356011⟩
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Article dans une revue
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Active learning of data-assimilation closures using graph neural networks. Theoretical and Computational Fluid Dynamics, 2025, 39, pp.17. ⟨10.1007/s00162-025-00737-1⟩. ⟨hal-05379430⟩
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Article dans une revue
Mattias Brynjell-Rahkola, Yohann Duguet, Thomas Boeck. Route to turbulence in magnetohydrodynamic square duct flow. Physical Review Fluids, 2025, 10 (2), pp.023903. ⟨10.1103/PhysRevFluids.10.023903⟩. ⟨hal-05360831⟩
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Article dans une revue
Pavan Kashyap, Juan Marín, Yohann Duguet, Olivier Dauchot. Laminar-Turbulent Patterns in Shear Flows: Evasion of Tipping, Saddle-Loop Bifurcation, and Log Scaling of the Turbulent Fraction. Physical Review Letters, 2025, 134 (15), pp.154001. ⟨10.1103/PhysRevLett.134.154001⟩. ⟨hal-05360827⟩
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Article dans une revue
Amine Saibi, Lionel Mathelin, Onofrio Semeraro. A Multistep Reinforcement Learning Control of Shear Flows in Minimal Input–Output Plants Under Large Time-delays. Flow, Turbulence and Combustion, 2025, 115 (3), pp.1379-1402. ⟨10.1007/s10494-025-00697-w⟩. ⟨hal-05379450⟩
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Article dans une revue
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Mean flow data assimilation using physics-constrained graph neural networks. Data-Centric Engineering, 2025, 6, pp.e48. ⟨10.1017/dce.2025.10022⟩. ⟨hal-05379441⟩
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Communication dans un congrès
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin. Learning Meets Differential Equations: From Theory to Applications Learning non-Markovian Dynamical Systems with Signature-based Encoders. ML-DE 2025 - 2nd Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications",, Oct 2025, Bologna, Italy. pp.1-25. ⟨hal-05379481⟩
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Article dans une revue
Riccardo Margheritti, Onofrio Semeraro, Maurizio Quadrio, Giacomo Boracchi. Feature Extraction from Flow Fields: Physics-Based Clustering and Morphing with Applications. Applied Sciences, 2025, 15 (23), pp.12421. ⟨10.3390/app152312421⟩. ⟨hal-05379510⟩
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Article dans une revue
Michel Pons, Lionel Mathelin. The fluctuations of the outdoor temperature as a source of immaterial entropy production in energy conversion processes. Energy Conversion and Management, 2026, 347, pp.120485. ⟨10.1016/j.enconman.2025.120485⟩. ⟨hal-05282663⟩