| Lattice Boltzmann model for compressible flows on standard lattices: Variable Prandtl number and adiabatic exponent MH Saadat, F Bösch, IV Karlin Physical Review E 99 (1), 013306, 2019 | 62 | 2019 |
| Extended lattice Boltzmann model for gas dynamics MH Saadat, SA Hosseini, B Dorschner, IV Karlin Physics of Fluids 33 (4), 2021 | 29 | 2021 |
| High-order weighted essentially nonoscillatory finite-difference formulation of the lattice Boltzmann method in generalized curvilinear coordinates K Hejranfar, MH Saadat, S Taheri Physical Review E 95 (2), 023314, 2017 | 27 | 2017 |
| Semi-Lagrangian lattice Boltzmann model for compressible flows on unstructured meshes MH Saadat, F Bösch, IV Karlin Physical Review E 101 (2), 023311, 2020 | 23 | 2020 |
| Arbitrary Lagrangian–Eulerian formulation of lattice Boltzmann model for compressible flows on unstructured moving meshes MH Saadat, IV Karlin Physics of Fluids 32 (4), 2020 | 20 | 2020 |
| Extended lattice Boltzmann model MH Saadat, B Dorschner, I Karlin Entropy 23 (4), 475, 2021 | 13 | 2021 |
| Preconditioned WENO finite-difference lattice Boltzmann method for simulation of incompressible turbulent flows K Hejranfar, MH Saadat Computers & Mathematics with Applications 76 (6), 1427-1446, 2018 | 13 | 2018 |
| Neural tangent kernel analysis of PINN for advection-diffusion equation MH Saadat, B Gjorgiev, L Das, G Sansavini arXiv preprint arXiv:2211.11716, 2022 | 6 | 2022 |
| Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime L Das, MH Saadat, B Gjorgiev, E Auger, G Sansavini arXiv preprint arXiv:2212.11017, 2022 | 1 | 2022 |
| Gradient enhanced multi-fidelity regression with neural networks: application to turbulent flow reconstruction MH Saadat arXiv preprint arXiv:2311.11298, 2023 | | 2023 |
| Neural Tangent Kernel Analysis of Pinns in Advection-Diffusion Regimes MH Saadat, B Gjorgiev, L Das, G Sansavini Available at SSRN 4778354, 0 | | |
Ilya KarlinETH ZurichVerified email at lav.mavt.ethz.ch
