| 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 | 266 | 2021 |
| Numerical analysis of the radial force produced by the Medtronic-CoreValve and Edwards-SAPIEN after transcatheter aortic valve implantation (TAVI) S Tzamtzis, J Viquerat, J Yap, MJ Mullen, G Burriesci Medical engineering & physics 35 (1), 125-130, 2013 | 229 | 2013 |
| 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 | 199 | 2021 |
| 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 | 83 | 2022 |
| Graph neural networks for laminar flow prediction around random two-dimensional shapes J Chen, E Hachem, J Viquerat Physics of Fluids 33 (12), 123607, 2021 | 75 | 2021 |
| 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 | 74 | 2020 |
| 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 | 71* | 2019 |
| A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects N Schmitt, C Scheid, S Lanteri, A Moreau, J Viquerat Journal of Computational Physics 316, 396-415, 2016 | 70 | 2016 |
| 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 | 62 | 2021 |
| U-net architectures for fast prediction of incompressible laminar flows J Chen, J Viquerat, E Hachem arXiv preprint arXiv:1910.13532, 2019 | 62* | 2019 |
| Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling E Hachem, H Ghraieb, J Viquerat, A Larcher, P Meliga Journal of Computational Physics 436, 110317, 2021 | 52 | 2021 |
| Analysis of a generalized dispersive model coupled to a DGTD method with application to nanophotonics S Lanteri, C Scheid, J Viquerat SIAM Journal on Scientific Computing 39 (3), A831-A859, 2017 | 42* | 2017 |
| Simulation of electromagnetic waves propagation in nano-optics with a high-order discontinuous Galerkin time-domain method J Viquerat Université Nice Sophia Antipolis, 2015 | 41* | 2015 |
| Recent advances on a DGTD method for time-domain electromagnetics S Descombes, C Durochat, S Lanteri, L Moya, C Scheid, J Viquerat Photonics and Nanostructures-Fundamentals and Applications 11 (4), 291-302, 2013 | 33 | 2013 |
| A parallel non-conforming multi-element DGTD method for the simulation of electromagnetic wave interaction with metallic nanoparticles R Léger, J Viquerat, C Durochat, C Scheid, S Lanteri Journal of Computational and Applied Mathematics 270, 330-342, 2014 | 30 | 2014 |
| Policy-based optimization: single-step policy gradient method seen as an evolution strategy J Viquerat, R Duvigneau, P Meliga, A Kuhnle, E Hachem Neural Computing and Applications 35 (1), 449-467, 2023 | 23 | 2023 |
| Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method N Schmitt, C Scheid, J Viquerat, S Lanteri Journal of Computational Physics 373, 210-229, 2018 | 22 | 2018 |
| Deep learning model to assist multiphysics conjugate problems G El Haber, J Viquerat, A Larcher, D Ryckelynck, J Alves, A Patil, ... Physics of Fluids 34 (1), 2022 | 16 | 2022 |
| Robust deep learning for emulating turbulent viscosities A Patil, J Viquerat, A Larcher, G El Haber, E Hachem Physics of Fluids 33 (10), 2021 | 16* | 2021 |
| 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 12 (8), 2022 | 13 | 2022 |
Elie HachemProfessor at MINES Paris PSL - ERC_Cog_2021Verified email at mines-paristech.fr
