Stabilized finite element method for incompressible flows with high Reynolds number E Hachem, B Rivaux, T Kloczko, H Digonnet, T Coupez Journal of Computational Physics 229 (23), 8643-8665, 2010 | 199 | 2010 |

Arbitrary Lagrangian Eulerian and fluid-structure interaction: numerical simulation M Souli, DJ Benson John Wiley & Sons, 2013 | 179 | 2013 |

A review on deep reinforcement learning for fluid mechanics P Garnier, J Viquerat, J Rabault, A Larcher, A Kuhnle, E Hachem Computers & Fluids 225, 104973, 2021 | 167 | 2021 |

Direct shape optimization through deep reinforcement learning J Viquerat, J Rabault, A Kuhnle, H Ghraieb, A Larcher, E Hachem Journal of Computational Physics 428, 110080, 2021 | 143 | 2021 |

Solution of high-Reynolds incompressible flow with stabilized finite element and adaptive anisotropic meshing T Coupez, E Hachem Computer methods in applied mechanics and engineering 267, 65-85, 2013 | 95 | 2013 |

Immersed stress method for fluid–structure interaction using anisotropic mesh adaptation E Hachem, S Feghali, R Codina, T Coupez International journal for numerical methods in engineering 94 (9), 805-825, 2013 | 73 | 2013 |

A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number J Viquerat, E Hachem Computers & Fluids 210, 104645, 2020 | 64 | 2020 |

Stabilized finite element method for heat transfer and turbulent flows inside industrial furnaces E Hachem PhD thesis, Ecole Nationale Supérieure des Mines de Paris, 2009 | 63 | 2009 |

Stabilized finite element solution to handle complex heat and fluid flows in industrial furnaces using the immersed volume method E Hachem, T Kloczko, H Digonnet, T Coupez International Journal for Numerical Methods in Fluids 68 (1), 99-121, 2012 | 59 | 2012 |

High fidelity anisotropic adaptive variational multiscale method for multiphase flows with surface tension M Khalloufi, Y Mesri, R Valette, E Massoni, E Hachem Computer Methods in Applied Mechanics and Engineering 307, 44-67, 2016 | 55 | 2016 |

Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film V Belus, J Rabault, J Viquerat, Z Che, E Hachem, U Reglade AIP Advances 9 (12), 2019 | 52 | 2019 |

A review on deep reinforcement learning for fluid mechanics: An update J Viquerat, P Meliga, A Larcher, E Hachem Physics of Fluids 34 (11), 2022 | 47 | 2022 |

Unified adaptive Variational MultiScale method for two phase compressible–incompressible flows E Hachem, M Khalloufi, J Bruchon, R Valette, Y Mesri Computer Methods in Applied Mechanics and Engineering 308, 238-255, 2016 | 47 | 2016 |

Graph neural networks for laminar flow prediction around random two-dimensional shapes J Chen, E Hachem, J Viquerat Physics of Fluids 33 (12), 2021 | 46 | 2021 |

Implicit boundary and adaptive anisotropic meshing T Coupez, L Silva, E Hachem New challenges in grid generation and adaptivity for scientific computing, 1-18, 2015 | 45 | 2015 |

Immersed volume method for solving natural convection, conduction and radiation of a hat-shaped disk inside a 3D enclosure E Hachem, D Hugues, M Elisabeth, C Thierry International Journal of Numerical Methods for Heat & Fluid Flow 22 (6), 2-2, 2012 | 40 | 2012 |

Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows H Ghraieb, J Viquerat, A Larcher, P Meliga, E Hachem Physical Review Fluids 6 (5), 053902, 2021 | 39 | 2021 |

Anisotropic adaptive meshing and monolithic Variational Multiscale method for fluid–structure interaction E Hachem, S Feghali, R Codina, T Coupez Computers & Structures 122, 88-100, 2013 | 39 | 2013 |

Adaptive time-step with anisotropic meshing for incompressible flows T Coupez, G Jannoun, N Nassif, HC Nguyen, H Digonnet, E Hachem Journal of Computational Physics 241, 195-211, 2013 | 39 | 2013 |

U-net architectures for fast prediction of incompressible laminar flows J Chen, J Viquerat, E Hachem arXiv preprint arXiv:1910.13532, 2019 | 38 | 2019 |