| Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications M Durve, S Orsini, A Tiribocchi, A Montessori, JM Tucny, M Lauricella, ... The European Physical Journal E 46 (5), 32, 2023 | 17 | 2023 |
| A conservative lattice Boltzmann model for the volume-averaged Navier–Stokes equations based on a novel collision operator B Blais, JM Tucny, D Vidal, F Bertrand Journal of Computational Physics 294, 258-273, 2015 | 14 | 2015 |
| Comparison of existing and extended boundary conditions for the simulation of rarefied gas flows using the lattice Boltzmann method JM Tucny, D Vidal, S Leclaire, F Bertrand International Journal of Modern Physics C 31 (05), 2050070, 2020 | 8 | 2020 |
| Impact of multilayering on the filtration performance of clean air filter media JM Tucny, D Vidal, F Drolet, F Bertrand The Canadian Journal of Chemical Engineering 98 (12), 2632-2647, 2020 | 6 | 2020 |
| Impact of fiber diameter polydispersity on the permeability of fibrous media JM Tucny, L Spreutels, F Drolet, S Leclaire, F Bertrand, D Vidal Chemical Engineering Science 262, 117984, 2022 | 4 | 2022 |
| Kinetic Slip Boundary Condition for Isothermal Rarefied Gas Flows through Static Non-Planar Geometries Based on the Regularized Lattice-Boltzmann Method JM Tucny, D Vidal, S Leclaire, F Bertrand Communications in Computational Physics 31 (3), 816-868, 2022 | 2 | 2022 |
| Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning using DropTrack M Durve, S Orsini, A Tiribocchi, A Montessori, JM Tucny, M Lauricella, ... Physics of Fluids 36 (2), 2024 | 1 | 2024 |
| Computation of effective viscosities for rarefied gas flows using Ray-tracing JM Tucny, S Leclaire, D Vidal, F Bertrand International Journal of Applied and Computational Mathematics 9 (5), 110, 2023 | 1 | 2023 |
| Droplet shape representation using Fourier series and autoencoders M Durve, JM Tucny, D Bhamre, A Tiribocchi, M Lauricella, A Montessori, ... arXiv preprint arXiv:2403.15797, 2024 | | 2024 |
| Can physical information aid the generalization ability of Neural Networks for hydraulic modeling? G Guglielmo, A Montessori, JM Tucny, M La Rocca, P Prestininzi arXiv preprint arXiv:2403.08589, 2024 | | 2024 |
| Learning of viscosity functions in rarefied gas flows with physics-informed neural networks JM Tucny, M Durve, A Montessori, S Succi Computers & Fluids 269, 106114, 2024 | | 2024 |
| Investigation on the validity of a rarefied gas flow model based on the LBM as an extended Navier-Stokes equation solver for porous media JM Tucny, D Vidal, S Leclaire, F Bertrand | | 2022 |
| Convergence order of the Lattice Boltzmann method in rarefied regimes JM Tucny, D Vidal, S Leclaire, F Bertrand | | 2021 |
| Modélisation des écoulements de gaz raréfiés au travers de filtres fibreux par la méthode de Boltzmann sur réseau JM Tucny Ecole Polytechnique, Montreal (Canada), 2020 | | 2020 |
| Numerical study of the impact of multi-layering on the permeability and capture efficiency of fibrous air filters JM Tucny, D Vidal, F Drolet, F Bertrand CDF Society of Canada (CFDSC), 2017 | | 2017 |
| A New Lattice-Boltzmann Method for the Simulation of Rarefied Flows in Complex Porous Media JM Tucny, D Vidal, F Bertrand | | 2017 |
| Revisiting Davies' Correlation for Porous Media Made of Polydisperse Fibers Based on Lattice Boltzmann Simulations D Vidal, JM Tucny, F Drolet, F Bertrand | | 2016 |
| Prediction of the Impact of Fiber Polydispersity on Filter Efficiency JM Tucny, D Vidal, F Bertrand, F Drolet | | 2015 |
David VidalEcole Polytechnique de MontréalVerified email at polymtl.ca
