Enriched finite element spaces for transient conduction heat transfer. - Elie Hachem; Hugues Digonnet; N. Kosseifi; E. Massoni; Thierry Coupez (Appl. Math. Comput., 2010)

Stabilized finite element method for incompressible flows with high Reynolds number. - Elie Hachem; B. Rivaux; T. Kloczko; Hugues Digonnet; Thierry Coupez (J. Comput. Phys., 2010)

Edge-Based Anisotropic Mesh Adaptation for CFD Applications. - Thierry Coupez; Ghina Jannoun; Jeremy Veysset; Elie Hachem (IMR, 2012)

Adaptive time-step with anisotropic meshing for incompressible flows. - Thierry Coupez; Ghina Jannoun; Nabil Nassif; Hong Chau Nguyen; Hugues Digonnet; Elie Hachem (J. Comput. Phys., 2013)

Modeling of heat transfer and turbulent flows inside industrial furnaces. - Elie Hachem; Ghina Jannoun; Jeremy Veysset; M. Henri; R. Pierrot; I. Poitrault; E. Massoni; Thierry Coupez (Simul. Model. Pract. Theory, 2013)

On the stabilized finite element method for steady convection-dominated problems with anisotropic mesh adaptation. - Elie Hachem; Ghina Jannoun; Jeremy Veysset; Thierry Coupez (Appl. Math. Comput., 2014)

Anisotropic boundary layer mesh generation for immersed complex geometries. - Laure Billon; Youssef Mesri; Elie Hachem (Eng. Comput., 2017)

A new approach to solve complex valued systems arising from the solution of Maxwell equations in the frequency domain through real-equivalent formulations. - Luca Marioni; José-Rodolfo Alves Zapata; Elie Hachem; François Bay (Numer. Linear Algebra Appl., 2017)

A review on Deep Reinforcement Learning for Fluid Mechanics. - Paul Garnier; Jonathan Viquerat; Jean Rabault; Aurélien Larcher; Alexander Kuhnle; Elie Hachem (CoRR, 2019)

Direct shape optimization through deep reinforcement learning. - Jonathan Viquerat; Jean Rabault; Alexander Kuhnle; Hassan Ghraieb; Elie Hachem (CoRR, 2019)

Time-accurate calculation and bifurcation analysis of the incompressible flow over a square cavity using variational multiscale modeling. - P. Meliga; Elie Hachem (J. Comput. Phys., 2019)

Optimization and passive flow control using single-step deep reinforcement learning. - Hassan Ghraieb; Jonathan Viquerat; Aurélien Larcher; P. Meliga; Elie Hachem (CoRR, 2020)

Adaptive Eulerian framework for boiling and evaporation. - Mehdi Khalloufi; Rudy Valette; Elie Hachem (J. Comput. Phys., 2020)

Stabilized finite element method for incompressible solid dynamics using an updated Lagrangian formulation. - R. Nemer; Aurélien Larcher; Thierry Coupez; Elie Hachem (CoRR, 2021)

Deep reinforcement learning for the control of conjugate heat transfer. - Elie Hachem; Hassan Ghraieb; Jonathan Viquerat; Aurélien Larcher; P. Meliga (J. Comput. Phys., 2021)

Direct shape optimization through deep reinforcement learning. - Jonathan Viquerat; Jean Rabault; Alexander Kuhnle; Hassan Ghraieb; Aurélien Larcher; Elie Hachem (J. Comput. Phys., 2021)

Adaptive Immersed Mesh Method (AIMM) for Fluid Structure Interaction. - R. Nemer; Aurélien Larcher; Elie Hachem (CoRR, 2022)

A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles. - J. Chen; Jonathan Viquerat; F. Heymes; Elie Hachem (Neural Comput. Appl., 2022)

Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications. - Jonathan Viquerat; Elie Hachem (CoRR, 2023)

Policy-based optimization: single-step policy gradient method seen as an evolution strategy. - Jonathan Viquerat; Régis Duvigneau; P. Meliga; Alexander Kuhnle; Elie Hachem (Neural Comput. Appl., 2023)

Virtual flow diverter deployment and embedding for hemodynamic simulations. - Pablo Jeken-Rico; Yves Chau; Aurèle Goetz; Vincent Lannelongue; Jacques Sédat; Elie Hachem (Comput. Biol. Medicine, 2024)

Beacon, a lightweight deep reinforcement learning benchmark library for flow control. - Jonathan Viquerat; Philippe Meliga; Pablo Jeken; Elie Hachem (CoRR, 2024)

Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics. - Paul Garnier; Jonathan Viquerat; Elie Hachem (CoRR, 2024)

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks. - Paul Garnier; Vincent Lannelongue; Jonathan Viquerat; Elie Hachem (ICLR, 2025)

Dragonfly: a modular deep reinforcement learning library. - Jonathan Viquerat; Paul Garnier; Amir-Hossein Bateni; Elie Hachem (CoRR, 2025)