| Mitigation strategies for airborne disease transmission in orchestras using computational fluid dynamics HA Hedworth, M Karam, J McConnell, JC Sutherland, T Saad Science Advances 7 (26), eabg4511, 2021 | 21 | 2021 |
| Low-cost Runge-Kutta integrators for incompressible flow simulations M Karam, JC Sutherland, T Saad Journal of Computational Physics 443, 110518, 2021 | 17 | 2021 |
| BuckinghamPy: A Python software for dimensional analysis M Karam, T Saad SoftwareX 16, 100851, 2021 | 10 | 2021 |
| High-order pressure estimates for projection-based Navier-Stokes solvers M Karam, T Saad Journal of Computational Physics 452, 110925, 2022 | 7 | 2022 |
| A framework for analyzing the temporal accuracy of pressure projection methods M Karam, JC Sutherland, M Hansen, T Saad AIAA Aviation 2019 Forum, 3634, 2019 | 4 | 2019 |
| An explicit variable-density projection method for low-mach reacting flows on structured uniform grids T Saad, M Karam, JC Sutherland 2018 Fluid Dynamics Conference, 4266, 2018 | 4 | 2018 |
| Improvements to a Fast Projection Method for the Navier–Stokes Equations M Karam, T Saad AIAA Journal 60 (8), 5028-5030, 2022 | 3 | 2022 |
| Stable timestep formulas for high-order advection-diffusion and Navier–Stokes solvers T Saad, M Karam Computers & Fluids, 105564, 2022 | 3 | 2022 |
| PyModPDE: A python software for modified equation analysis M Karam, JC Sutherland, T Saad SoftwareX 12, 100541, 2020 | 3 | 2020 |
| High-order pressure estimates for Navier-Stokes Runge-Kutta solvers using stage pseudo-pressures M Karam, T Saad Journal of Computational Physics 471, 111602, 2022 | 2 | 2022 |
| On the theory of fast projection methods for high-order Navier-Stokes solvers M Karam, T Saad Journal of Computational Physics 495, 112557, 2023 | 1 | 2023 |
| The Theory of Fast Projection Methods for High-Fidelity Fast Solution of the Navier-Stokes Equations T Saad, M Karam Bulletin of the American Physical Society, 2023 | | 2023 |
| On the Theory of Fast Multistage Solvers for the Incompressible Navier-Stokes Equations M Karam The University of Utah, 2022 | | 2022 |
| Machine Learning for Sedov Blast M Jiang, FM Najjar, K Mokbel Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2018 | | 2018 |
Tony SaadUniversity of Utah, Chemical EngineeringVerified email at utah.edu
