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Viscoplastic dam-breaks

 Rudy Valette , Anselmo Soeiro Pereira , S. Riber , Lucas Sardo , Aurélien Larcher , et al.
Journal of Non-Newtonian Fluid Mechanics, 2021, 287, pp.104447. ⟨10.1016/j.jnnfm.2020.104447⟩
Article dans une revue hal-03233251v1
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CONVERGENCE OF A FINITE VOLUME SCHEME FOR THE CONVECTION-DIFFUSION EQUATION WITH L 1 DATA

 Thierry Gallouët , Aurélien Larcher , Jean-Claude Latché
Mathematics of Computation, 2012, 81 (279), ⟨10.1090/S0025-5718-2011-02571-8⟩
Article dans une revue hal-01283569v1

High Fidelity Conservative and Adaptive Levelset Method for Complex Two-Fluid Flows

 Aurélien Larcher , Chahrazade Bahbah , Lucas Sardo , Anselmo Soeiro Pereira , Rudy Valette , et al.
Complex Days, Académie Systèmes Complexes, Mar 2019, Nice, France
Communication dans un congrès hal-03863428v1

Deep reinforcement learning for fluid mechanics

 Elie Hachem , Philippe Meliga , Hassan Ghraieb , Ramy Nemer , Aurèle Goetz , et al.
IUTAM Symposium on data-driven mechanics, 2022, Paris, France
Communication dans un congrès hal-03924781v1
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Capillary, viscous, and geometrical effects on the buckling of power-law fluid filaments under compression stresses

 Anselmo Soeiro Pereira , Aurélien Larcher , Elie Hachem , Rudy Valette
Computers and Fluids, 2019, 190, pp.514-519. ⟨10.1016/j.compfluid.2019.06.014⟩
Article dans une revue hal-02428734v1

Time-accurate calculation and bifurcation analysis of incompressible flows using adaptive variational multiscale modeling

 Aurélien Larcher , Jonathan Viquerat , Philippe Meliga , Elie Hachem
20th International Confe- rence on Fluid Flow Problems, 2019, Chicago, United States
Communication dans un congrès hal-03924845v1
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Direct shape optimization through deep reinforcement learning

 Jonathan Viquerat , Mines Paristech , Jean Rabault , Alexander Kuhnle , Hassan Ghraieb , et al.
2021
Pré-publication, Document de travail hal-02401468v2

A review on Deep Reinforcement Learning for Fluid Mechanics

 Paul Garnier , Jonathan Viquerat , Jean Rabault , Aurélien Larcher , Alexander Kuhnle , et al.
2020
Pré-publication, Document de travail hal-02428737v1
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Stabilized finite element method for incompressible solid dynamics using an updated Lagrangian formulation

 R. Nemer , Aurélien Larcher , T. Coupez , E. Hachem
Computer Methods in Applied Mechanics and Engineering, 2021, 384, pp.113923. ⟨10.1016/j.cma.2021.113923⟩
Article dans une revue hal-03942152v1

Sensitivity of intracranial haemo- dynamics towards varying arterial tree extensions

 Pablo Jeken Rico , Aurèle Goetz , Jonathan Viquerat , P. Meliga , Aurélien Larcher , et al.
28th Congress of the European Society of Biomechanics, Jul 2023, Maastricht, Netherlands
Poster de conférence hal-04379143v1

Fluid-structure interaction for the simulation of intracranial aneurysm after endovascular flow diverter stent implantation

 Elie Hachem , Aurélien Larcher , Ramy Nemer , Augusto Fava-Sanches , Yigit Özpeynirci , et al.
56th Annual Conference of the German Society for Neuroradiology, 2021, virtual, Germany
Communication dans un congrès hal-03924875v1
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A review on deep reinforcement learning for fluid mechanics: an update

 J Viquerat , P Meliga , A Larcher , E Hachem
Physics of Fluids, 2022, 34 (11), pp.111301. ⟨10.1063/5.0128446⟩
Article dans une revue hal-03432654v2

Intracranial aneurysms: what are you missing if you consider fully rigid arterial tissues?

 Aurèle Goetz , Pablo Jeken Rico , Ramy Nemer , Aurélien Larcher , P. Meliga , et al.
28th Congress of the European Society of Biomechanics, Jul 2023, Maastricht, Netherlands
Poster de conférence hal-04379169v1

Fluid-structure interaction for the simulation of cerebral aneurysms

 Elie Hachem , Aurélien Larcher , Ramy Nemer , Philippe Meliga , Augusto Fava-Sanches , et al.
17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2021, Bonn, Germany
Communication dans un congrès hal-03924858v1
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Analysis of a fractional-step scheme for the P1 radiative diffusion model

 Raphaele Herbin , Thierry Gallouët , Jean-Claude Latché , Aurélien Larcher
Computational & Applied Mathematics, 2016, 35 (1), pp.135-151. ⟨10.1007/s40314-014-0186-z⟩
Article dans une revue hal-00477086v2
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A review on deep reinforcement learning for fluid mechanics

 Paul Garnier , Jonathan Viquerat , Jean Rabault , Aurélien Larcher , Alexander Kuhnle , et al.
Computers and Fluids, 2021, 225, pp.104973. ⟨10.1016/j.compfluid.2021.104973⟩
Article dans une revue hal-02401491v2
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Robust Deep Learning For Emulating Turbulent Viscosities

 Aakash Patil , Jonathan Viquerat , Aurélien Larcher , George El Haber , Elie Hachem
Physics of Fluids, 2021, 33 (10), pp.105118. ⟨10.1063/5.0064458⟩
Article dans une revue hal-03432657v2
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Anisotropic adaptive body-fitted meshes for CFD

 Sacha El Aouad , Aurélien Larcher , Elie Hachem
Computer Methods in Applied Mechanics and Engineering, 2022, 400, pp.115562. ⟨10.1016/j.cma.2022.115562⟩
Article dans une revue hal-03942147v1

Deep reinforcement learning for fluid mechanics

 Elie Hachem , Philippe Meliga , Hassan Ghraieb , Ramy Nemer , Rudy Valette , et al.
8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), 2022, Oslo, Norway
Communication dans un congrès hal-03924683v1
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Numerical schemes for first order one-point closure turbulence models

 Aurélien Larcher
Mathematics [math]. Université de Provence - Aix-Marseille I, 2010. English. ⟨NNT : 2010AIX11037⟩
Thèse tel-00553161v2

A novel FSI framework for high-fidelity simulation of hemodynamics in intracranial aneurysms

 Aurèle Goetz , Pablo Jeken Rico , Ramy Nemer , Philippe Meliga , Aurélien Larcher , et al.
27th Congress of the European Society of Biomechanics, 2022, Porto, Portugal
Poster de conférence hal-03924736v1
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Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling

 Elie Hachem , Hassan Ghraieb , Jonathan Viquerat , Aurélien Larcher , P. Meliga
2021
Pré-publication, Document de travail hal-03102265v1

On the CFD modelling of hemodynamics in unruptured intracranial aneurysms,

 Pablo Jeken Rico , Aurèle Goetz , Ramy Nemer , Philippe Meliga , Aurélien Larcher , et al.
27th Congress of the European Society of Biomechanics, 2022, Porto, Portugal
Communication dans un congrès hal-03924751v1
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Conservative and adaptive level-set method for the simulation of two-fluid flows

 C. Bahbah , M. Khalloufi , A. Larcher , Y. Mesri , T. Coupez , et al.
Computers and Fluids, In press, 191, pp.104223. ⟨10.1016/j.compfluid.2019.06.022⟩
Article dans une revue hal-02186905v1
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Single-step deep reinforcement learning for two- and three-dimensional optimal shape design

 H. Ghraieb , J. Viquerat , A. Larcher , P. Meliga , E. Hachem
AIP Advances, 2022, 12 (8), pp.085108. ⟨10.1063/5.0097241⟩
Article dans une revue hal-03825017v1

Evaluating the Impact of Domain Boundaries on Hemodynamics in Intracranial Aneurysms within the Circle of Willis

 Pablo Jeken-Rico , Aurèle Goetz , Philippe Meliga , Aurélien Larcher , Yigit Özpeynirci , et al.
Fluids, 2023, 9 (1), pp.1. ⟨10.3390/fluids9010001⟩
Article dans une revue hal-04379043v1
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Anisotropic boundary layer mesh generation for reliable 3D unsteady RANS simulations

 G. Guiza , A. Larcher , A. Goetz , L. Billon , P. Meliga , et al.
Finite Elements in Analysis and Design, 2020, 170, pp.103345. ⟨10.1016/j.finel.2019.103345⟩
Article dans une revue hal-02428682v1
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Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows

 Hassan Ghraieb , Jonathan Viquerat , Aurélien Larcher , P. Meliga , Elie Hachem
Physical Review Fluids, 2021
Article dans une revue hal-03027908v2

Deep learning model for two-fluid flows

 George El Haber , Jonathan Viquerat , Aurelien Larcher , Jose Alves , Frédéric Costes , et al.
Physics of Fluids, 2023, 35 (2), ⟨10.1063/5.0134421⟩
Article dans une revue hal-04433906v1
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Deep learning model to assist multiphysics conjugate problems

 George El Haber , Jonathan Viquerat , Aurelien Larcher , David Ryckelynck , Jose Alves , et al.
Physics of Fluids, 2022, 34 (1), pp.015131. ⟨10.1063/5.0077723⟩
Article dans une revue hal-03564192v1
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