Elie Hachem

Orcid: 0000-0002-2202-6397

According to our database1, Elie Hachem authored at least 35 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Training transformers for mesh-based simulations.
Neural Comput. Appl., June, 2026

Physics-Informed Coarsening for Multigrid Graph Neural Surrogates.
CoRR, May, 2026

Mesh Based Simulations with Spatial and Temporal awareness.
CoRR, May, 2026

Physics constrained graph neural network for real time prediction of intracranial aneurysm hemodynamics.
npj Digit. Medicine, 2026

Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.
Comput. Biol. Medicine, 2026

2025
Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment.
CoRR, December, 2025

Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models.
CoRR, November, 2025

Curriculum Learning for Mesh-based simulations.
CoRR, September, 2025

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis.
CoRR, September, 2025

Automated discovery of finite volume schemes using Graph Neural Networks.
CoRR, August, 2025

Dragonfly: a modular deep reinforcement learning library.
CoRR, May, 2025

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics.
CoRR, 2024

Beacon, a lightweight deep reinforcement learning benchmark library for flow control.
CoRR, 2024

Virtual flow diverter deployment and embedding for hemodynamic simulations.
Comput. Biol. Medicine, 2024

2023
Policy-based optimization: single-step policy gradient method seen as an evolution strategy.
Neural Comput. Appl., 2023

Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications.
CoRR, 2023

2022
A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles.
Neural Comput. Appl., 2022

Adaptive Immersed Mesh Method (AIMM) for Fluid Structure Interaction.
CoRR, 2022

2021
Direct shape optimization through deep reinforcement learning.
J. Comput. Phys., 2021

Deep reinforcement learning for the control of conjugate heat transfer.
J. Comput. Phys., 2021

Stabilized finite element method for incompressible solid dynamics using an updated Lagrangian formulation.
CoRR, 2021

2020
Adaptive Eulerian framework for boiling and evaporation.
J. Comput. Phys., 2020

Optimization and passive flow control using single-step deep reinforcement learning.
CoRR, 2020

2019
Time-accurate calculation and bifurcation analysis of the incompressible flow over a square cavity using variational multiscale modeling.
J. Comput. Phys., 2019

Direct shape optimization through deep reinforcement learning.
CoRR, 2019

A review on Deep Reinforcement Learning for Fluid Mechanics.
CoRR, 2019

2017
A new approach to solve complex valued systems arising from the solution of Maxwell equations in the frequency domain through real-equivalent formulations.
Numer. Linear Algebra Appl., 2017

Anisotropic boundary layer mesh generation for immersed complex geometries.
Eng. Comput., 2017

2014
On the stabilized finite element method for steady convection-dominated problems with anisotropic mesh adaptation.
Appl. Math. Comput., 2014

2013
Modeling of heat transfer and turbulent flows inside industrial furnaces.
Simul. Model. Pract. Theory, 2013

Adaptive time-step with anisotropic meshing for incompressible flows.
J. Comput. Phys., 2013

2012
Edge-Based Anisotropic Mesh Adaptation for CFD Applications.
Proceedings of the 21st International Meshing Roundtable, 2012

2010
Stabilized finite element method for incompressible flows with high Reynolds number.
J. Comput. Phys., 2010

Enriched finite element spaces for transient conduction heat transfer.
Appl. Math. Comput., 2010


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