Elie Hachem

Professor

Center · CEMEF

Keywords

Awards & distinctions

2025 ERC Proof of Concept Grants for its project combining virtual reality, artificial intelligence, and healthcare.
2022 ERC Consolidator Grant for the “CURE” project: “Mechanical-fluid coupling and machine learning for the treatment of unruptured aneurysms.”
2020 Fellow 2020 (distinction de l’International Association for Computational Mechanics)
2019 1st Prize, Atos-Joseph Fourier Award, in the category of numerical simulation and high-performance computing,
2015 Intel and HP Award for Best Presentation in “High-Performance Computing for Fluid Mechanics,” École Polytechnique, Palaiseau, February 5, 2015
2014 Prix IBM Faculty Awardde 10 000$
2010 ECCOMAS Best Thesis Award
2010 GAMNI-SMAI Thesis Award

Team

CFL - Calcul Intensif et Mécanique des Fluides

Biography

Hachem Elie is a researcher whose work lies at the intersection of computational fluid dynamics, machine learning, and biomedical applications. His research focuses primarily on developing innovative methods for simulating and analyzing complex flows, with particular expertise in hybrid approaches that combine physical modeling and artificial intelligence. His contributions include the use of graph neural networks (GNNs) to accelerate computational fluid dynamics (CFD) simulations, notably through masked pre-training strategies and multiscale learning curricula. This work aims to improve the efficiency and accuracy of models while reducing computational costs, with targeted applications such as the simulation of intracranial aneurysms or the prediction of multiphase phenomena. At the same time, Hachem Elie explores fluid-structure interactions (FSI) and adaptive meshing methods, integrating multiscale variational frameworks to address problems such as thrombus formation or the topological optimization of thermofluidic systems. His research also extends to the optimization of industrial processes, such as the control of gas furnaces or the protection of solar panels against high winds, by coupling deep reinforcement learning algorithms with high-fidelity CFD simulations.

Publication(s)

2026
Curriculum learning for mesh-based simulations DOI : 10.1063/5.0316165
2026
TRELLIS -enhanced surface features for comprehensive intracranial aneurysm analysis DOI : 10.1016/j.neuri.2026.100259
2025
Stretching and breakup of two-dimensional falling Newtonian sheets DOI : 10.1063/5.0270377
2025
Experimental and Numerical Study of Film Boiling Around a Small Nickel Sphere DOI : 10.3390/fluids10070162
2025
Inverse Leidenfrost impacting drops DOI : 10.1017/jfm.2024.1164
2025
Multi-grid graph neural networks with self-attention for computational mechanics DOI : 10.1063/5.0281590
2025
Viscoplastic drops impacting a free-slip surface DOI : 10.1016/j.ijmultiphaseflow.2025.105177
2025
A Continuum Approach With Adaptive Mesh Refinement for Platelet Plug Formation DOI : 10.1002/cnm.70073
2025
Deep Learning Prediction of Dry Friction in DLC Coatings Using Literature-Derived Data DOI : 10.1007/s11249-025-02056-2
2025
Physical-informed deep learning prediction of solid and fluid mechanical properties of oxide glasses DOI : 10.1016/j.jnoncrysol.2025.123476
2025
Investigating Delayed Rupture of Flow Diverter-Treated Giant Aneurysm Using Simulated Fluid–Structure Interactions DOI : 10.3390/bioengineering12030305
2025
MESHMASK: PHYSICS-BASED SIMULATIONS WITH MASKED GRAPH NEURAL NETWORKS
2024
Virtual flow diverter deployment and embedding for hemodynamic simulations DOI : 10.1016/j.compbiomed.2024.109023
2024
Viscoplastic elliptical objects impacting a solid surface DOI : 10.1063/5.0197270
2024
Adaptive stopping criterion of iterative solvers for efficient computational cost reduction: Application to Navier–Stokes with thermal coupling DOI : 10.1016/j.finel.2024.104263
2024
Adaptive Immersed Mesh Method (AIMM) for Fluid–Structure Interaction DOI : 10.1016/j.compfluid.2024.106285
2024
Analysis of Intracranial Aneurysm Haemodynamics Altered by Wall Movement DOI : 10.3390/bioengineering11030269
2024
Beacon, a Lightweight Deep Reinforcement Learning Benchmark Library for Flow Control DOI : 10.3390/app14093561
2024
Multi-Objective Topology Optimization of Conjugate Heat Transfer Using Level Sets and Anisotropic Mesh Adaptation DOI : 10.3390/fluids9050105
2024
Combining machine learning and computational fluid dynamics for solar panel tilt angle optimization in extreme winds DOI : 10.1063/5.0233709
2024
Reinforcement learning for cooling rate control during quenching DOI : 10.1108/HFF-11-2023-0713
2024
AnXplore: a comprehensive fluid-structure interaction study of 101 intracranial aneurysms DOI : 10.3389/fbioe.2024.1433811
2024
Evaluating the Impact of Domain Boundaries on Hemodynamics in Intracranial Aneurysms within the Circle of Willis DOI : 10.3390/fluids9010001
2023
Autoregressive transformers for data-driven spatiotemporal learning of turbulent flows DOI : 10.1063/5.0152212
2023
Parallel Bootstrap-Based On-Policy Deep Reinforcement Learning for Continuous Fluid Flow Control Applications DOI : 10.3390/fluids8070208
2023
Reinforcement learning for patient-specific optimal stenting of intracranial aneurysms DOI : 10.1038/s41598-023-34007-z
2023
Large-scale parallel topology optimization of three-dimensional incompressible fluid flows in a level set, anisotropic mesh adaptation framework DOI : 10.1016/j.cma.2023.116335
2023
A Vaporization Model for Continuous Surface Force Approaches and Subcooled Configurations DOI : 10.3390/fluids8080233
2023
Investigating gas furnace control practices with reinforcement learning DOI : 10.1016/j.ijheatmasstransfer.2023.124147
2023
Deep learning model for two-fluid flows DOI : 10.1063/5.0134421
2023
A Stabilized Finite Element Framework for Anisotropic Adaptive Topology Optimization of Incompressible Fluid Flows DOI : 10.3390/fluids8080232
2023
The role of viscoplastic drop shape in impact DOI : 10.1017/jfm.2023.926
2023
Aggregation and disaggregation processes in clusters of particles under flow: Simple numerical and theoretical insights DOI : 10.1103/PhysRevFluids.8.023304
2023
Policy-based optimization: single-step policy gradient method seen as an evolution strategy DOI : 10.1007/s00521-022-07779-0
2022
Topology Optimization of Heat and Mass Transfer Systems using Level Sets and Anisotropic Mesh Adaptation DOI : 10.11159/ffhmt22.176
2022
Proposition of extension of models relating rheological quantities and microscopic structure through the use of a double fractal structure DOI : 10.1063/5.0101750
2022
A review on deep reinforcement learning for fluid mechanics: An update DOI : 10.1063/5.0128446
2022
A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles DOI : 10.1007/s00521-021-06784-z
2022
Single-step deep reinforcement learning for two- and three-dimensional optimal shape design DOI : 10.1063/5.0097241
2022
First Steps in the Application of Physics-Informed Neural Networks to Full Waveform Inversion
2022
Erratum: Proposition of extension of models relating rheological quantities and microscopic structure through the use of a double fractal structure (Physics of Fluids (2022) 34 (083105) DOI: 10.48550/arXiv.2206.07464) DOI : 10.1063/5.0126532
2022
Anisotropic adaptive body-fitted meshes for CFD DOI : 10.1016/j.cma.2022.115562
2022
Application and assessment of the improved delayed detached eddy simulation model to the cold spray process: Toward high fidelity computation fluid dynamics simulations DOI : 10.1063/5.0100954
2022
A Bayesian Nonlinear Reduced Order Modeling Using Variational AutoEncoders DOI : 10.3390/fluids7100334
2022
Multiphase Flows with Viscoplastic Materials DOI : 10.1007/978-3-030-93456-9_17
2022
Deep learning model to assist multiphysics conjugate problems DOI : 10.1063/5.0077723
2021
A review on deep reinforcement learning for fluid mechanics DOI : 10.1016/j.compfluid.2021.104973
2021
Stabilized finite element method for incompressible solid dynamics using an updated Lagrangian formulation DOI : 10.1016/j.cma.2021.113923
2021
Graph neural networks for laminar flow prediction around random two-dimensional shapes DOI : 10.1063/5.0064108
2021
Direct shape optimization through deep reinforcement learning DOI : 10.1016/j.jcp.2020.110080
2021
Deep reinforcement learning for the control of conjugate heat transfer DOI : 10.1016/j.jcp.2021.110317
2021
A simple and efficient numerical model for thermal contact resistance based on diffuse interface immersed boundary method DOI : 10.1016/j.ijthermalsci.2020.106817
2021
Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows DOI : 10.1103/PhysRevFluids.6.053902
2021
Robust deep learning for emulating turbulent viscosities DOI : 10.1063/5.0064458
2021
Viscoplastic dam-breaks DOI : 10.1016/j.jnnfm.2020.104447
2020
Inertia-dominated coiling instabilities of power-law fluids DOI : 10.1016/j.jnnfm.2020.104321
2020
A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number DOI : 10.1016/j.compfluid.2020.104645
2020
Anisotropic boundary layer mesh generation for reliable 3D unsteady RANS simulations DOI : 10.1016/j.finel.2019.103345
2020
A Variational Multi-Scale Anisotropic Mesh Adaptation Scheme for Aerothermal Problems DOI : 10.1007/978-3-030-30705-9_18
2020
A ‘R-to-H’ Mesh Adaptation Approach for Moving Immersed Complex Geometries Using Parallel Computers DOI : 10.1080/10618562.2020.1783441
2020
A stabilized PGD mixed formulation of the Navier-Stokes equation, application to a Lid-driven cavity
2020
On the analytical and numerical simulation of an oscillating drop in zero-gravity DOI : 10.1016/j.compfluid.2019.104362
2020
Adaptive Eulerian framework for boiling and evaporation DOI : 10.1016/j.jcp.2019.109030
2019
Discontinuous Galerkin finite element method applied to the coupled unsteady Stokes/Cahn-Hilliard equations DOI : 10.1002/fld.4720
2019
Conservative and adaptive level-set method for the simulation of two-fluid flows DOI : 10.1016/j.compfluid.2019.06.022
2019
Capillary, viscous, and geometrical effects on the buckling of power-law fluid filaments under compression stresses DOI : 10.1016/j.compfluid.2019.06.014
2019
Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film DOI : 10.1063/1.5132378
2019
Sensitivity to the rheology and geometry of granular collapses by using the μ(I) rheology DOI : 10.1016/j.compfluid.2019.104260
2019
The effect of viscosity, yield stress, and surface tension on the deformation and breakup profiles of fluid filaments stretched at very high velocities DOI : 10.1016/j.jnnfm.2018.12.001
2019
A versatile immersed surface-to-surface method for radiation exchange: Implementation and validation DOI : 10.1016/j.ijheatmasstransfer.2019.01.051
2019
A stabilized mixed formulation using the proper generalized decomposition for fluid problems DOI : 10.1016/j.cma.2018.09.030
2019
Time-accurate calculation and bifurcation analysis of the incompressible flow over a square cavity using variational multiscale modeling DOI : 10.1016/j.jcp.2018.09.036
2018
Adaptive stopping criterion for iterative linear solvers combined with anisotropic mesh adaptation, application to convection-dominated problems DOI : 10.1016/j.cma.2018.06.025
2018
Parallel and adaptive VMS finite elements formulation for aerothermal problems DOI : 10.1016/j.compfluid.2018.03.077
2018
Variational Multiscale error estimator for anisotropic adaptive fluid mechanic simulations: Application to convection–diffusion problems DOI : 10.1016/j.cma.2017.11.019
2018
Aerothermal impingement jet flow simulations using anisotropic multiscale mesh adaptation DOI : 10.2514/6.2018-2898
2018
Anisotropic adaptive stabilized finite element solver for RANS models DOI : 10.1002/fld.4475
2018
Interpolation with restrictions in an anisotropic adaptive finite element framework DOI : 10.1016/j.finel.2017.11.011
2018
Stabilized mixed finite element method for the M1 radiation model DOI : 10.1016/j.cma.2018.01.046
2018
Inelastic accretion of inertial particles by a towed sphere DOI : 10.1103/PhysRevFluids.3.024303
2017
Numerical coupling strategy for the simulation of electromagnetic stirring DOI : 10.22364/mhd.53.3.11
2017
A new approach to solve complex valued systems arising from the solution of Maxwell equations in the frequency domain through real-equivalent formulations DOI : 10.1002/nla.2079
2017
Two-fluid flow under the constraint of external magnetic field: Revisiting the dam-break benchmark DOI : 10.1108/HFF-09-2016-0371
2017
Quantitative predictions of the μ(I) rheology in 2D and 3D granular column collapse: Scaling laws and quasi-static vs. inertial regimes DOI : 10.1051/epjconf/201714011005
2017
Anisotropic boundary layer mesh generation for immersed complex geometries DOI : 10.1007/s00366-016-0469-7
2016
On optimal simplicial 3D meshes for minimizing the Hessian-based errors DOI : 10.1016/j.apnum.2016.07.007
2016
Numerical stability analysis and flow simulation of lid-driven cavity subjected to high magnetic field DOI : 10.1063/1.4948433
2016
High fidelity anisotropic adaptive variational multiscale method for multiphase flows with surface tension DOI : 10.1016/j.cma.2016.04.014
2016
Adaptive variational multiscale method for bingham flows DOI : 10.1016/j.compfluid.2016.08.011
2016
Unified adaptive Variational MultiScale method for two phase compressible-incompressible flows DOI : 10.1016/j.cma.2016.05.022
2016
Unified formulation for modeling heat and fluid flow in complex real industrial equipment DOI : 10.1016/j.compfluid.2016.05.007
2015
Stability analysis of a polymer coating process DOI : 10.1063/1.4918408
2015
Stability analysis of a polymer film casting problem DOI : 10.1002/fld.4024
2015
Immersed methods and parallel anisotropic mesh adaptation to simplify the simulation setup using the cloud
2015
Recent and future developments in finite element metal forming simulation
2015
A three-field stabilized finite element method for fluid-structure interaction: Elastic solid and rigid body limit DOI : 10.1002/nme.4972
2015
Immersed NURBS for CFD applications DOI : 10.1007/978-3-319-06053-8_7
2015
Implicit boundary and adaptive anisotropic meshing DOI : 10.1007/978-3-319-06053-8_1
2015
Anisotropic meshing with time-stepping control for unsteady convection-dominated problems DOI : 10.1016/j.apm.2014.10.005
2014
Recent and future developments in finite element metal forming Simulation
2014
Direct numerical simulations of two-phase immiscible wakes DOI : 10.1088/0169-5983/46/4/041409
2014
On the stabilized finite element method for steady convection-dominated problems with anisotropic mesh adaptation DOI : 10.1016/j.amc.2013.12.166
2013
Fully space-time metric based anisotropic mesh adaptation for unsteady problems
2013
Solution of high-Reynolds incompressible flow with stabilized finite element and adaptive anisotropic meshing DOI : 10.1016/j.cma.2013.08.004
2013
Immersed stress method for fluid-structure interaction using anisotropic mesh adaptation DOI : 10.1002/nme.4481
2013
Multidomain Finite Element Computations: Application to Multiphasic Problems DOI : 10.1002/9781118557884.ch5
2013
A high-order discontinuous Galerkin method with Lagrange multipliers for advection-diffusion problems DOI : 10.1016/j.cma.2013.05.003
2013
Adaptive time-step with anisotropic meshing for incompressible flows DOI : 10.1016/j.jcp.2012.12.010
2013
Identification of glass pad lubricant viscosity using a trapping thermomechanical test DOI : 10.1016/j.jmatprotec.2012.10.002
2013
Edge-based anisotropic mesh adaptation for CFD applications DOI : 10.1007/978-3-642-33573-0_33
2013
Modeling of heat transfer and turbulent flows inside industrial furnaces DOI : 10.1016/j.simpat.2012.07.013
2013
Anisotropic adaptive meshing and monolithic Variational Multiscale method for fluid-structure interaction DOI : 10.1016/j.compstruc.2012.12.004
2012
Immersed volume method for solving natural convection, conduction and radiation of a hat-shaped disk inside a 3D enclosure DOI : 10.1108/09615531211244871
2012
Adaptive anisotropic meshing for incompressible navier stokes using a VMS solver with boundary layer
2012
3D simulation of turbulent two-phase flows using a stabilized finite element method
2012
Stabilized finite element solution to handle complex heat and fluid flows in industrial furnaces using the immersed volume method DOI : 10.1002/fld.2498
2011
Advanced numerical method for generation of three-dimensional particles and its application in microstructure-based simulation of fatigue behavior DOI : 10.1016/j.commatsci.2011.04.039
2010
Enriched finite element spaces for transient conduction heat transfer DOI : 10.1016/j.amc.2010.09.057
2010
A multi-scale approach for high cycle anisotropic fatigue resistance: Application to forged components DOI : 10.1016/j.msea.2010.03.042
2010
Monolithic stabilized finite element method for rigid body motions in the incompressible Navier-Stokes flow: Monolothic SFEM for FSI DOI : 10.3166/ejcm.19.547-573
2010
Stabilized finite element method for incompressible flows with high Reynolds number DOI : 10.1016/j.jcp.2010.07.030
2009
Immersed volume method for solving 3D natural convection, conduction and radiation of a hat-shaped disk inside an enclosure
2009
Immersed volume method for radiative heat transfer: Theory and validation

Teaching

Fluid Mechanics (PI MECAERO)

Lecturer

Mechanics of Materials and Structures (PI MECAERO)

Course Director

Project (PI MECAERO)

Lecturer

Elective Course Period (October and January)

Course Director

Finite Elements

Lecturer

The course consists of a theoretical component (including lectures and small-group sessions) and a practical component based on a mini-project. The ""lecture"" component includes a presentation of the theoretical framework of the method (10 lecture and tutorial sessions), as well as its implementation (5 lecture and tutorial sessions), and the industrial context (5 sessions). The mini-projects account for one-third of the course. Students will choose their projects from a list of topics focused either on specific applications or on algorithmic or mathematical developments: dynamics, statics, contact, thermal analysis, diffusion, fluid mechanics, mesh adaptation, etc. Content Theoretical formulation and implementation of the method Variational formulation: Sobolev spaces, weak solutions, the Lax–Milgram theorem, connection to virtual work and the calculus of variations. Finite Element Method: Description of the method, examples of finite elements, convergence results. Matrix formulation: Elementary matrices, assembly, boundary conditions, solution, algorithms in mechanics and thermal analysis. Computational environment Connection to CAD: Design workflows. Meshing techniques: Delaunay methods, frontal meshing. Meshing a complex part. Major commercial software packages: Organization of a computational code, some examples. Parallel computing: Machines and associated algorithms, parallel solvers, domain decomposition. Applications Students interested in applications involving real parts will use a major commercial software package or software from the School’s Research Centers. They will perform a calculation that is realistic from an industrial perspective. Those more interested in applied mathematics can use a development platform, such as FreeFem++.

Digital Engineering of Complex Systems (IDSC) track

Course Director

Over the past decade, artificial intelligence (AI) has profoundly transformed the industrial world by revolutionizing the ways in which systems are designed, optimized, and operated. One of the most striking aspects of this evolution is the digital modeling of complex systems. Traditionally based on methods with a strong physical or multiphysical focus, this field now benefits from advances in artificial intelligence, particularly through machine learning and deep learning algorithms. The Digital Engineering of Complex Systems track at Mines Paris aims to provide students with a solid, multidisciplinary foundation in AI, enabling them to gain a deep understanding of its applications and apply them to real-world industrial challenges. The disciplines studied in the specialization are: machine learning and its applications in engineering, computer vision, and high-performance computing. The specialization’s curriculum is structured around three weeks of coursework, supplemented by two weeks of a Data Challenge and a one-week field trip. More information is available on the track’s webpage: https://bruno-figliuzzi.github.io/Option/

Fluids (Course)

Course Director

Fluids (Research Quarter)

Course Director

PhD supervision

2025 Simulation of the pneumatic wringing process in galvanizing, based on a finite element model with anisotropic space-time adaptation. NASSER Ali
2025 Digital twins and deep learning for optimized and decarbonized design of industrial glass furnaces AYOUN Yassine
2025 Machine Learning Coupling with Numerical Mechanics via Graph Neural Networks BAZZI Amir
2025 Advanced simulation of polymer quenching for sustainable aerospace manufacturing CHAKIB Amal
2025 Multiphase flow simulation for the transport of complex fluids in the human pulmonary system. YEPES-PEñARANDA Alejandro José
2025 Acceleration of numerical simulations in mechanical engineering by artificial intelligence: towards an integration of Graph Neural Networks in forging processes. SHEHAZI Manar
2025 Digital twins and deep learning for optimized and decarbonized design of industrial glass furnaces STENTA Marion
2024 Artificial intelligence and digital mechanics coupling for the treatment of intracranial aneurysms ZARATE GUEVARA John Sebastian
2024 Numerical fluid mechanics, 4D flow MRI, and deep learning for risk stratification of intracranial aneurysm rupture LANNELONGUE Vincent
2024 Coupling Deep Reinforcement Learning (DRL) methods with graph convolutional neural networks for flow simulation and optimization NGUYEN Xuan Minh Vuong
2024 Aneurysm Treatment by Machine Learning GARNIER Paul
2024 Deep reinforcement learning for innovative design and development of digital twins for packaging molds ZAAYTER Tony
2024 AI coupling and digital mechanics for the treatment of intracranial aneurysms. FAITINI Chiara
2024 Composite hydrogels for dual drug delivery VINCENT Carla
2024 Spatial qualification of ceramic components for satellites using numerical simulation of thermal shock tests. ABDEL GHANI Hasan
2023 Reduction of drag induced by biopolymers in turbulent flows ELKHOURY Ricardo
2023 Artificial intelligence and digital mechanics coupling for the treatment of intracranial aneurysms PELISSIER Ugo
2023 Artificial Intelligence and Digital Twins in Metallurgy - Modeling Front-Tracking of Evolving Interface Networks. YOUNES Eliane
2022 Towards a Digital Twin of a Photovoltaic Power Plant MICHEL Théodore
2022 Numerical simulation of the aorta using the finite element method and application of optimization methods for improving a ventricular assist device RENAULT Maxime
2022 Anisotropic mesh adaptation for multiphase flow dynamics with wetting and capillary effects in coating applications GAULTIER Clément
2022 A partitioned fluid–structure interaction numerical framework for the simulation of intracranial aneurysms with hyperelastic wall behavior RBAH Abdelilah
2021 Deep Learning Application to Prediction and Modeling of Multiphysics Fluid Flows EL HABER George
2021 ARRAY(0x841b2b6a8) ISUKWEM Kindness
2021 Multi-scale modeling of interfacial instabilities and bubble dynamics: application to filling flows in the lost foam casting process. EL ZAHABI Jennifer
2021 Analysis of the impact of arterial wall motion on blood flow in intracranial aneurysms through fluid-structure interaction simulations GOETZ Aurèle
2021 Advanced Hemodynamic Modeling and Simulation of Flow-Diverter Stents in the Treatment of Intracranial Aneurysms JEKEN RICO Pablo
2020 High-fidelity numerical modeling and simulation of the Lost Foam process HAYEK Cynthia
2020 Topological Optimization of High-Efficiency Heat Exchangers Using the Level-Set Method and Anisotropic Mesh Adaptation ABDEL NOUR Wassim
2020 Correction flux strategies for continuous finite element approximations of the compressible Euler equations on unstructured meshes DEVOS Thibaut
2020 Models and simulation of acoustic-thermomechanical coupling in complex fluids BOUTHIER Louis
2020 Machine learning and compliance with physical laws: application to seismic imaging DE SOUZA Léo
2019 On the coupling of deep reinforcement learning and computational fluid dynamics GHRAIEB Hassan
2019 Modeling of fluid-solid coupling with analysis and optimization of residual and thermoelastoplastic stresses KHALIL Joe
2019 A posteriori error estimation and adaptive control of iterative finite element solvers with mesh adaptation: application to the quenching process. MEDGHOUL Ghaniyya
2019 Numerical and parallel modeling of an anisotropic adaptive mesh for industrial quenching applications EL AOUAD Sacha
2019 Turbulence modeling in fluids assisted by deep learning PATIL Aakash
2018 Numerical and experimental study of boiling phenomena - Application to quenching BRISSOT Charles
2018 An adaptive immersed mesh method (AIMM) for fluid-structure interaction (FSI) NEMER Ramy
2018 Rapid and flexible heat transfer by radiation for sintering applications GERARD Rémi
2018 New modeling framework for interface capture and boiling for industrial cooling BOUBAYA Ali-Malek
2018 Convolutional neural networks for steady flow prediction around 2D obstacles CHEN Junfeng
2017 Optimal resolution of iterative solvers with anisotropic adaptive meshing MANZINALI Gabriel
2017 Finite element methods for simulating radiative heat transfer in industrial furnaces MENSAH ASSIAKOLEY Tevi
2017 Study and development of the performance of the Ranque-Hilsch tube and analysis of industrialization prospects ASSEMIEN Fian
2016 Adaptive variational finite element formulation and massively parallel computing for industrial aerothermal applications. BAZILE Alban
2016 A reliable and adaptive CFD framework for airship design GUIZA Ghalia
2016 Numerical modeling of the solidification of molten steels under levitation in the International Space Station AALILIJA Ayoub
2016 Advanced numerical methods for simulating industrial quenching processes BAHBAH Chahrazade
2016 ANR HECO Contract: from heating to cooling: load monitoring for thermal processing. DALDOUL Wafa
2015 Advanced numerical methods for simulating industrial quenching processes AGARWAL AMAN