DATAFLOT

Affichage des résultats 1 à 12 sur 270 au total

DATAFLOT : 1 à 12 sur 270 au total

  • Article dans une revue

    Rémi Bousquet, Caroline Nore, Didier Lucor. AutoEncoders latent space interpretability in the light of proper orthogonal decomposition: Machine learning of periodically forced fluid flows. Computer Physics Communications, 2025, 315, pp.109728. ⟨10.1016/j.cpc.2025.109728⟩. ⟨hal-05407939⟩

    COMET, DATAFLOT

    Année de publication

    Disponible en libre accès

  • Pré-publication, Document de travail

    Luigi Marra, Onofrio Semeraro, Lionel Mathelin, Andrea Meilán-Vila, Stefano Discetti. Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems. 2025. ⟨hal-05394151⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès

  • Communication dans un congrès

    Onofrio Semeraro, Michele A Bucci, Remy Hosseinkhan-Boucher, Sergio Chibbaro, Alexandre Allauzen, et al.. On the use of entropy-based metrics for data-driven modeling and reinforcement learning control. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, Londres, United Kingdom. ⟨hal-05379611⟩

    DATAFLOT

    Année de publication

  • Communication dans un congrès

    Onofrio Semeraro, Michele Alessandro Bucci, Lionel Mathelin, Luigi Marra, Amine Saibi. From robotics to fluid dynamics: opportunities and pitfalls of Reinforcement Learning in flow control. iTi Workshop on Structure and control of wall-bounded turbulent flows, Jul 2025, Bertinoro, Italy. ⟨hal-05379587⟩

    BioInfo, DATAFLOT

    Année de publication

    Disponible en libre accès

  • Communication dans un congrès

    Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Mean flow data assimilation using physics-constrained Graph Neural Networks. Coherent structures and instabilities in transitional and turbulent wall-bounded flows, Euromech Colloquium 658, Sep 2025, Bari, Italy. ⟨hal-05379581⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès

  • Communication dans un congrès

    Andrea Palumbo, Onofrio Semeraro, Luigi de Luca. Transition to turbulence in planar synthetic jets: numerical simulations and coherent structures eduction. Coherent structures and instabilities in transitional and turbulent wall-bounded flows, Euromech Colloquium 658, Sep 2025, Bari, Italy. ⟨hal-05379576⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès

  • Communication dans un congrès

    Amine Saibi, Lionel Mathelin, Onofrio Semeraro. Actor-Critic methods for model-free control of spatially evolving flows. Joint event Euromech Colloquium on Data-Driven Fluid Dynamics/2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics, Apr 2025, London, United Kingdom. ⟨hal-05379604⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès

  • 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⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès

  • 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⟩

    AO, DATAFLOT

    Année de publication

  • 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⟩

    DATAFLOT

    Année de publication

    Disponible en libre accès