Aurélien Larcher

Publications

Article dans une revue (20)

Adaptive Stopping Criterion of Iterative Solvers for Efficient Computational Cost Reduction: Application to Navier–Stokes with Thermal Coupling Aurélien Larcher,Ghaniyya Medghoul,Gabriel Manzinali,Elie Hachem Finite Elements in Analysis and Design, 2024, 242, pp.104263. ⟨10.1016/j.finel.2024.104263⟩ Article dans une revue hal-04736512v1
Adaptive Immersed Mesh Method (AIMM) for Fluid–Structure Interaction R. Nemer,A. Larcher,Elie Hachem Computers and Fluids, 2024, 277, pp.106285. ⟨10.1016/j.compfluid.2024.106285⟩ Article dans une revue hal-04842673v1
Analysis of Intracranial Aneurysm Haemodynamics Altered by Wall Movement Aurèle Goetz,Pablo Jeken-Rico,Yves Chau,Jacques Sédat,Aurélien Larcheret al. Bioengineering, 2024, 11 (3), pp.269. ⟨10.3390/bioengineering11030269⟩ Article dans une revue hal-04842648v1
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 Özpeynirciet al. Fluids, 2023, Image-Based Computational and Experimental Biomedical Flows, 9 (1), pp.1. ⟨10.3390/fluids9010001⟩ Article dans une revue hal-04379043v1
Deep learning model for two-fluid flows George El Haber,Jonathan Viquerat,Aurelien Larcher,Jose Alves,Frédéric Costeset al. Physics of Fluids, 2023, 35 (2), ⟨10.1063/5.0134421⟩ Article dans une revue hal-04433906v1
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
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 learning model to assist multiphysics conjugate problems George El Haber,Jonathan Viquerat,Aurelien Larcher,David Ryckelynck,Jose Alveset al. Physics of Fluids, 2022, 34 (1), pp.015131. ⟨10.1063/5.0077723⟩ Article dans une revue hal-03564192v1
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
Viscoplastic dam-breaks Rudy Valette,Anselmo Soeiro Pereira,S. Riber,Lucas Sardo,Aurélien Larcheret al. Journal of Non-Newtonian Fluid Mechanics, 2021, 287, pp.104447. ⟨10.1016/j.jnnfm.2020.104447⟩ Article dans une revue hal-03233251v1
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
A review on deep reinforcement learning for fluid mechanics Paul Garnier,Jonathan Viquerat,Jean Rabault,Aurélien Larcher,Alexander Kuhnleet al. Computers and Fluids, 2021, 225, pp.104973. ⟨10.1016/j.compfluid.2021.104973⟩ Article dans une revue hal-02401491v2
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
Deep reinforcement learning for the control of conjugate heat transfer Elie Hachem,Hassan Ghraieb,Jonathan Viquerat,Aurélien Larcher,P. Meliga Journal of Computational Physics, 2021, 436, pp.110317. ⟨10.1016/j.jcp.2021.110317⟩ Article dans une revue hal-03027923v2
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
Anisotropic boundary layer mesh generation for reliable 3D unsteady RANS simulations G. Guiza,A. Larcher,A. Goetz,L. Billon,P. Meligaet al. Finite Elements in Analysis and Design, 2020, 170, pp.103345. ⟨10.1016/j.finel.2019.103345⟩ Article dans une revue hal-02428682v1
Conservative and adaptive level-set method for the simulation of two-ﬂuid ﬂows C. Bahbah,M. Khalloufi,A. Larcher,Y. Mesri,T. Coupezet al. Computers and Fluids, In press, 191, pp.104223. ⟨10.1016/j.compfluid.2019.06.022⟩ Article dans une revue hal-02186905v1
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
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
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

Communication dans un congrès (11)

Stretching, contact line receding and breakup dynamics of capillary bridges between a hydrophobic surface and a bath Rudy Valette,Léa Cailly-Brandstäter,Céline Cohen,Nicolas Hertel,Yann Bouretet al. PSL Soft and Living Matter days 2025, Jul 2025, Paris, France Communication dans un congrès hal-05443719v1
Patient-specific flow diverter stent for unruptured intracranial aneurysms Elie Hachem,Philippe Meliga,Jonathan Viquerat,Aurélien Larcher,Vincent Lannelongueet al. 29th Congress of the European Society of Biomechanics, Jun 2024, Edinburgh, United Kingdom Communication dans un congrès hal-04750786v1
Physics-informed machine learning for enhanced 4D flow Vincent Lannelongue,Paul Garnier,Aurélien Larcher,Philippe Meliga,Elie Hachem 29th Congress of the European Society of Biomechanics, Jun 2024, Edinburgh, United Kingdom Communication dans un congrès hal-04750792v1
On the CFD modelling of hemodynamics in unruptured intracranial aneurysms, Pablo Jeken Rico,Aurèle Goetz,Ramy Nemer,Philippe Meliga,Aurélien Larcheret al. 27th Congress of the European Society of Biomechanics, 2022, Porto, Portugal Communication dans un congrès hal-03924751v1
Deep reinforcement learning for fluid mechanics Elie Hachem,Philippe Meliga,Hassan Ghraieb,Ramy Nemer,Rudy Valetteet al. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), 2022, Oslo, Norway Communication dans un congrès hal-03924683v1
Deep reinforcement learning for fluid mechanics Elie Hachem,Philippe Meliga,Hassan Ghraieb,Ramy Nemer,Aurèle Goetzet al. IUTAM Symposium on data-driven mechanics, 2022, Paris, France Communication dans un congrès hal-03924781v1
Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows Hassan Ghraieb,Jonathan Viquerat,Aurélien Larcher,Philippe Meliga,Elie Hachem IACM Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology, 2021, San Diego, United States Communication dans un congrès hal-03924885v1
Fluid-structure interaction for the simulation of cerebral aneurysms Elie Hachem,Aurélien Larcher,Ramy Nemer,Philippe Meliga,Augusto Fava-Sancheset al. 17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2021, Bonn, Germany Communication dans un congrès hal-03924858v1
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 Özpeynirciet al. 56th Annual Conference of the German Society for Neuroradiology, 2021, virtual, Germany Communication dans un congrès hal-03924875v1
High Fidelity Conservative and Adaptive Levelset Method for Complex Two-Fluid Flows Aurélien Larcher,Chahrazade Bahbah,Lucas Sardo,Anselmo Soeiro Pereira,Rudy Valetteet al. Complex Days, Académie Systèmes Complexes, Mar 2019, Nice, France Communication dans un congrès hal-03863428v1
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

Poster de conférence (4)

Intracranial aneurysms: what are you missing if you consider fully rigid arterial tissues? Aurèle Goetz,Pablo Jeken Rico,Ramy Nemer,Aurélien Larcher,P. Meligaet al. 28th Congress of the European Society of Biomechanics, Jul 2023, Maastricht, Netherlands Poster de conférence hal-04379169v1
Sensitivity of intracranial haemo- dynamics towards varying arterial tree extensions Pablo Jeken Rico,Aurèle Goetz,Jonathan Viquerat,P. Meliga,Aurélien Larcheret al. 28th Congress of the European Society of Biomechanics, Jul 2023, Maastricht, Netherlands Poster de conférence hal-04379143v1
A novel FSI framework for high-fidelity simulation of hemodynamics in intracranial aneurysms Aurèle Goetz,Pablo Jeken Rico,Ramy Nemer,Philippe Meliga,Aurélien Larcheret al. 27th Congress of the European Society of Biomechanics, 2022, Porto, Portugal Poster de conférence hal-03924736v1
CFD Modeling and beyond for the hemodynamics of intracranial aneurysms Pablo Jeken Rico,Aurèle Goetz,Ramy Nemer,Philippe Meliga,Jonathan Viqueratet al. 9th World Congress of Biomechanics, 2022, Taipei, China Poster de conférence hal-03924773v1

Pré-publication, Document de travail (5)

Coupled surface-to-surface radiative and conductive heat transfer with an immersed volume method Rémi Gerard,Elie Hachem,Giulia Lissoni,Aurélien Larcher 2024 Pré-publication, Document de travail hal-04769425v1
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
Direct shape optimization through deep reinforcement learning Jonathan Viquerat,Mines Paristech,Jean Rabault,Alexander Kuhnle,Hassan Ghraiebet 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 Kuhnleet al. 2020 Pré-publication, Document de travail hal-02428737v1
Direct shape optimization through deep reinforcement learning Jonathan Viquerat,Jean Rabault,Alexander Kuhnle,Hassan Ghraieb,Aurélien Larcheret al. 2020 Pré-publication, Document de travail hal-02428728v1

Thèse (1)

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