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.
Rémi Bousquet, Yannick Ponty, Victor Botez, Nicolas Plihon, Caroline Nore. Magnetic field reversals in numerical simulations of the von Kármán sodium experiment. Physical Review Fluids, 2026, 11 (6), pp.063703. ⟨10.1103/9tx2-1m13⟩. ⟨hal-05668081⟩
Yanis Zatout, Françoise Bataille, Adrien Toutant. A posteriori study of Thermal-Large Eddy Simulation in solar receiver operating conditions. 2026. ⟨hal-05658010⟩
Yanis Zatout, Adrien Toutant, Onofrio Semeraro, Lionel Mathelin, Françoise Bataille. Fast and accurate field reconstruction of Thermal-Large Eddy Simulation (T-LES) by Deep Learning. Congrès Français de Thermique SFT, May 2023, Reims, France. 2023. ⟨hal-05454752⟩
Zatout Yanis, Toutant Adrien, Bataille Françoise, Semeraro Onofrio, Mathelin Lionel. Study of the effects of spanwise wall oscillation in asymmetrically heated wall bounded flow. Euromech 631, Universidad Carlos III de Madrid; Aerospace Engineering Research Group UC3M, Mar 2024, Madrid, Spain. ⟨hal-05454998⟩
Zatout Yanis, Toutant Adrien, Onofrio Semeraro, Lionel Mathelin, Bataille Françoise. Study of the effects of spanwise wall oscillation in asymmetrically heated wall bounded flow. Euromech colloquia 631 – Control of skin friction and convective heat transfer in wall-bounded flows, UC3M, Mar 2024, Madrid, Spain. ⟨hal-05455002⟩
Nathan Carbonneau, Julien Salort, Yann Fraigneau, Didier Lucor, Francesca Chillà, et al.. Transitioning to the ultimate regime of convection in three-dimensional direct numerical simulations. 2026. ⟨hal-05598098⟩
Edgar Jaber, Emmanuel Remy, Vincent Chabridon, Morgane Garo-Sail, Mathilde Mougeot, et al.. Digital twin-based hybrid framework for steam generator clogging prognostics. 2026. ⟨hal-05594391⟩
V. Botez, R. Bousquet, C. Nore. Large scale analysis of the von Kármán sodium experiment using proper orthogonal decomposition. Magnetohydrodynamics c/c of Magnitnaia Gidrodinamika, 2025, 61 (1/2), pp.13-24. ⟨10.22364/mhdMagnétohydrodynamique.61.1-2.1⟩. ⟨hal-05576725⟩
Debashis Panda, Seungwon Shin, Abdullah M. Abdal, Lyes Kahouadji, Jalel Chergui, et al.. Direct numerical simulation of two-phase flows with surfactant-induced surface viscous effects. Journal of Computational Physics, In press, 559, pp.114914. ⟨10.1016/j.jcp.2026.114914⟩. ⟨hal-05578433⟩