Mécanique des fluides

Mechanics – Energetics

The activities of the department are grouped around Fluid Mechanics, Mass and Heat Transfer and Energetics. We conduct research of a generally fundamental nature, with applications in the energy, transport, health and environment sectors.

Approach and perspective

The approach of the Mechanics-Energetics department is at the interface between computer science, physics and applied mathematics.

We wish to maintain a balance between interdependent activities:

  • understanding the fundamental phenomena of turbulent fluid mechanics,
  • tackling complex multiphysics problems coupled at large scales,
  • leveraging our physical knowledge while considering data as an inherent part of modeling, experiments and simulations.

In this context, we are very open to recent developments in machine learning, which offer a powerful information processing framework that can augment our current lines of research with broad-spectrum applications in the energy, transportation, health, and environmental sectors.

Organization

The Mechanics-Energetics Department offers original and multidisciplinary research thanks to the expertise of some twenty permanent staff, researchers, teacher-researchers and engineers, organized into two complementary teams: DATAFLOT (DAta science, TrAnsition, FLuid instabiLity, contrOl & Turbulence) relying on data-augmented modeling and artificial intelligence, and studying fluid dynamics, instabilities and turbulence, and COMET (COuplages MultiphysiquEs et Transferts) focusing on the understanding of complex coupled fluid phenomena, involved in energy conversion and storage, heat transfers as well as energy efficiency optimization.

Coordination

Research Teams

News

Last publications

  • Rapport

    Alexander Kempf, Marc Taylor, Bernhard Kühn, Elliot Brown, Vanessa Trijoulet, et al.. SEAwise Report on consistency of existing targets and limits for indicators in an ecosystem context. Institut Agro – Rennes Angers; Technical University of Denmark. 0031, pp.245 P. ⟨hal-04495754⟩

    CPUCognition Perception et Usages

    Year of publication

    Available in free access

  • Thèse

    David Rei. Interactions Humain-Machine Adaptées à la Personnalité des Utilisateurs : Application de Motivation à l’Activité Physique. Informatique. Université Paris-Saclay, 2024. Français. ⟨NNT : 2024UPASG012⟩. ⟨tel-04538519v2⟩

    CPUCognition Perception et Usages

    Year of publication

    Available in free access

  • Pré-publication, Document de travail

    Pierre Barbault, Matthieu Kowalski, Charles Soussen. LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems. 2024. ⟨hal-04542061⟩

    AO

    Year of publication

    Available in free access

  • Article dans une revue

    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⟩

    DATAFLOT

    Year of publication

    Available in free access

  • Poster de conférence

    George Marchment, Marie Schmit, Clémence Sebe, Frédéric Lemoine, Hervé Ménager, et al.. Representing bioinformatics Nextflow workflows in RO-Crate : challenges and opportunities. Semantic Web Applications and Tools for Health Care and Life Sciences, Feb 2024, Leiden, Netherlands. Zenodo, 2024, ⟨10.5281/zenodo.10822156⟩. ⟨hal-04540040⟩

    Year of publication

    Available in free access

  • Article dans une revue

    Luma da Silva Miranda, João Antônio de Moraes, Albert Rilliard. Visual channel facilitates the comprehension of the intonation of Brazilian Portuguese wh-questions and wh-exclamations: evidence from congruent and incongruent stimuli. Language and Cognition, 2024, pp.1-21. ⟨10.1017/langcog.2024.16⟩. ⟨hal-04538371⟩

    STL

    Year of publication

    Available in free access

  • Pré-publication, Document de travail

    Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi. SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials. 2024. ⟨hal-04536273⟩

    STL

    Year of publication

    Available in free access

  • Communication dans un congrès

    Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, et al.. Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. LREC-COLING 2024 – Joint International Conference on Computational Linguistics, Language Resources and Evaluation, May 2024, Turin, Italy. ⟨hal-04535557⟩

    Year of publication

    Available in free access

  • Communication dans un congrès

    Djegdjiga Amazouz, Martine-Adda Decker, Lori Lamel. Variation du voisement des occlusives orales en code-switching: analyses par ABX automatique et mesures acoustiques. Journées d’Études sur la Parole – JEP2022, Jun 2022, Noirmoutier, France. ⟨hal-03703081⟩

    STL

    Year of publication

    Available in free access

  • Communication dans un congrès

    Behnoosh Mohammadzadeh, Jules Françoise, Michèle Gouiffès, Baptiste Caramiaux. Studying Collaborative Interactive Machine Teaching in Image Classification. IUI ’24: 29th International Conference on Intelligent User Interfaces, Mar 2024, Greenville SC USA, United States. pp.195-208, ⟨10.1145/3640543.3645204⟩. ⟨hal-04535375⟩

    Year of publication

    Available in free access