| Computational modeling of multiphase viscoelastic and elastoviscoplastic flows D Izbassarov, ME Rosti, MN Ardekani, M Sarabian, S Hormozi, L Brandt, ... International Journal for Numerical Methods in Fluids 88 (12), 521-543, 2018 | 60 | 2018 |
| Physics-informed neural networks for brain hemodynamic predictions using medical imaging M Sarabian, H Babaee, K Laksari IEEE transactions on medical imaging 41 (9), 2285-2303, 2022 | 33 | 2022 |
| Fully developed and transient concentration profiles of particulate suspensions sheared in a cylindrical Couette cell M Sarabian, M Firouznia, B Metzger, S Hormozi Journal of Fluid Mechanics 862, 659-671, 2019 | 32 | 2019 |
| Elasticity imaging using physics-informed neural networks: Spatial discovery of elastic modulus and Poisson's ratio A Kamali, M Sarabian, K Laksari Acta biomaterialia 155, 400-409, 2023 | 27 | 2023 |
| Numerical simulations of a sphere settling in simple shear flows of yield stress fluids M Sarabian, ME Rosti, L Brandt, S Hormozi Journal of Fluid Mechanics 896, A17, 2020 | 17 | 2020 |
| Shear‐induced migration and axial development of particles in channel flows of non‐Brownian suspensions A Rashedi, M Sarabian, M Firouznia, D Roberts, G Ovarlez, S Hormozi AIChE Journal 66 (12), e17100, 2020 | 11 | 2020 |
| Physics-informed neural networks for improving cerebral hemodynamics predictions M Sarabian, H Babaee, K Laksari arXiv preprint arXiv:2108.11498, 2021 | 5 | 2021 |
| Interface-resolved simulations of the confinement effect on the sedimentation of a sphere in yield-stress fluids M Sarabian, ME Rosti, L Brandt Journal of Non-Newtonian Fluid Mechanics 303, 104787, 2022 | 4 | 2022 |
| Experimental Investigations and Direct Numerical Simulations of Rigid Particles in Shear Flows of Newtonian and Complex Fluids M Sarabian Ohio University, 2020 | 1 | 2020 |
| Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression SZ Ashtiani, M Sarabian, K Laksari, H Babaee arXiv preprint arXiv:2403.09758, 2024 | | 2024 |
| Particle-resolved simulations of the wall effect on the sedimentation of a single sphere in yield-stress fluids M Sarabian, ME Rosti, L Brandt Bulletin of the American Physical Society, 2023 | | 2023 |
| Blood flow predictions in data-poor regimes: A physics-informed Bayesian approach S Zamani Ashtiani, M Sarabian, K Laksari, H Babaee Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Finite PINN Net: Physics-informed deep convolutional neural networks for learning 3D transient Darcy flows in heterogeneous porous media M Sarabian, P Ruiz Mataran, R Rodriguez Torrado Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Geological Neural Network Methodology for Automatic History Match; Real Case for Rubiales Field R Rodriguez-Torrado, A Pumar-Jimenez, P Ruiz-Mataran, M Sarabian, ... SPE Annual Technical Conference and Exhibition?, D011S006R002, 2022 | | 2022 |
| Brain Hemodynamic Predictions from Noninvasive Transcranial Doppler Ultrasound and Angiography Data Using Physics-Informed Neural Networks M Sarabian, H Babaee, K Laksari APS Division of Fluid Dynamics Meeting Abstracts, H14. 006, 2021 | | 2021 |
| Particle resolved simulations of a sphere settling in simple shear flows of yield-stress fluids M Sarabian, ME Rosti, L Brandt, S Hormozi APS Division of Fluid Dynamics Meeting Abstracts, S28. 004, 2019 | | 2019 |
| Interface-resolved simulations of a sphere settling in simple shear flows of elastoviscoplastic fluids M Sarabian, ME Rosti, L Brandt, S Hormozi Bulletin of the American Physical Society 63, 2018 | | 2018 |
| An experimental study on fracturing flows of Newtonian fluids A Rashedi, M Sarabian, M Firouznia, G Ovarlez, S Hormozi Bulletin of the American Physical Society 63, 2018 | | 2018 |
| Dispersion and layering of solid particles in cylindrical Couette flows M Sarabian, MH Firouznia, B Metzger, S Hormozi APS Division of Fluid Dynamics Meeting Abstracts, F36. 005, 2017 | | 2017 |
