Computing and Fluids – CFL

    Permanent Members

    Elie Hachem, leader
    Jérémie Bec (CNRS)
    Romain Castellani
    Thierry Coupez
    Patrice Laure (CNRS)
    Aurélien Larcher
    Philippe Meliga (CNRS)
    Youssef Mesri
    Edith Peuvrel-Disdier (CNRS)
    Franck Pigeonneau
    Rudy Valette


    Welcome to the Computing and Fluids research group at CEMEF, Mines Paris.
    We are interested in developing new methods and techniques to address a number of problems in engineering, physics and life sciences. We focus on massively parallel numerical methods to efficiently model processes and physical phenomena at different industrial scales. We make use of experimental techniques to complement and validate our models.

    Much of our research involves Computational Mathematics and Mechanics, Mesh adaptation with error estimators, High Performance Computing, Experimental and Computational Fluid Dynamics (CFD) using Stabilized FEM and Variational MultiScale methods for:

    •  Complex and non-Newtonian fluids
    • Free surface and Multiphase Flows
    • Machine learning for fluid mechanics
    • Phase change and Conjugate heat transfer
    • Turbulence and fluid-structure interaction
    • Aerodynamics, wing engineering & performance

    Feel free to visit us at CFL - CEMEF or to contact us if you have questions.


    Turbulent flows past an airplace
    Turbulent flows past an airplace
    Thales Alenia
    Thales Alenia
    The collapse of a water column with dynamic anisotropic meshing
    The collapse of a water column with dynamic anisotropic meshing
    several simulations
    several simulations
    the different steps
    the different steps

    "CEMEF combines strong scientific expertise in experimentation, modelling and numerics on industrial projects. It is this multidisciplinarity that motivated me to join the centre."

    Aurélien LARCHER, Professor-Researcher


    On going PhD projects

    MATHNUM doctoral speciality

    • Ricardo ELKHOURI : Biopolymer drag reduction in turbulent flow. Class of 2023
    • Paul GARNIER : Personalized Aneurysm Treatment using Large Physics Informed Models. Class of 2023
    • Vincent LANNELONGUE : Computational mechanics and deep learning for intracranial aneurysm rupture risk stratification. Class of 2023
    • Ugo PELISSIER : Coupling artificial intelligence and digital mechanics for the treatment of intracranial aneurysms. Class of 2023
    • Eliane YOUNES : Artificial Intelligence and digital twins in metallurgy – Front-tracking modeling of evolving interface networks. Class of 2023 + MSR team
    • Clément GAULTIER : Anisotropic Mesh Adaptation for Multiphase Flow Dynamicswith wetting and capillarity effectsin coating applications. Class of 2022
    • Théodore MICHEL : Digital Twin of a photovoltaic power plant. Class of 2022
    • Abdelilah RBAH : Fluid-Structure interaction of intracranial aneurysm: modeling, simulation and risk evaluation. Class of 2022
    • Maxime RENAULT : Numerical simulation of the aorta by finite element method and application of optimization methods for the improvement of a ventricular assist device. Class of 2022
    • Wael BADER : Resolution strategies for computational mechanics using randomized linear algebra with controlled precision. Class of 2021
    • Jennifer EL ZAHABI : Advanced numerical modeling and simulation of the Lost Foam process. Class of 2021
    • Aurèle GOETZ : Development of a solid solver for complex behaviors. Class of 2021 + CSM team
    • Pablo JEKEN RICO : Remeshing of complex geometries by GPU. Class of 2021
    • Thibaut DEVOS : Numerical development in C++ and finite elements of a two-phase aerothermal solver for additive manufacturing applications such as cold spraying for coating materials. Class of 2020

    MNM doctoral speciality

    • Nicolas HERTEL : Modelling of viscoelastic dewetting flows. Class of 2023
    • Léa CAILLY-BRANDSTÄTER : Instabilities and texturing under flow of thin layers of non-Newtonian fluids. Class of 2022
    • Kindness ISUKWEM : Impact of non-Newtonian drops on liquids. Class of 2021
    • Alan TABORÉ : Modeling of residual stresses in an ophthalmic lens. Class of 2021 + MPI team
    • Sujie YU : Experimental studies of the formation of gels and aerogels (dry gels) based on natural polymers, cellulose and these industrial derivatives (methyl cellulose, hydroxypropyl cellulose). Class of 2021 + CFL team
    • Juan ITRIAGO : Cellularization of an elastomer in injection: Modeling of the process/physical process coupling to predict the cell microstructure. Class of 2020