| Fluid dynamics simulations show that facial masks can suppress the spread of COVID-19 in indoor environments A Khosronejad, C Santoni, K Flora, Z Zhang, S Kang, S Payabvash, ... Aip Advances 10 (12), 2020 | 72 | 2020 |
| Targeted energy transfer between 2-D wing and nonlinear energy sinks and their dynamic behaviors W Zhang, Y Liu, S Cao, J Chen, Z Zhang, J Zhang Nonlinear Dynamics 90, 1841-1850, 2017 | 35 | 2017 |
| Time-averaged wind turbine wake flow field prediction using autoencoder convolutional neural networks Z Zhang, C Santoni, T Herges, F Sotiropoulos, A Khosronejad Energies 15 (1), 41, 2021 | 34 | 2021 |
| Scour depth prediction at the base of longitudinal walls: a combined experimental, numerical, and field study A Khosronejad, P Diplas, D Angelidis, Z Zhang, N Heydari, F Sotiropoulos Environmental Fluid Mechanics 20, 459-478, 2020 | 26 | 2020 |
| Data‐Driven Prediction of Turbulent Flow Statistics Past Bridge Piers in Large‐Scale Rivers Using Convolutional Neural Networks Z Zhang, K Flora, S Kang, AB Limaye, A Khosronejad Water Resources Research 58 (1), e2021WR030163, 2022 | 22 | 2022 |
| Large-eddy simulation of flash flood propagation and sediment transport in a dry-bed desert stream A Khosronejad, K Flora, Z Zhang, S Kang International Journal of Sediment Research 35 (6), 576-586, 2020 | 22 | 2020 |
| On the morphodynamics of a wide class of large‐scale meandering rivers: insights gained by coupling LES with sediment‐dynamics A Khosronejad, AB Limaye, Z Zhang, S Kang, X Yang, F Sotiropoulos Journal of Advances in Modeling Earth Systems 15 (3), e2022MS003257, 2023 | 13 | 2023 |
| Toward prediction of turbulent atmospheric flows over propagating oceanic waves via machine-learning augmented large-eddy simulation Z Zhang, X Hao, C Santoni, L Shen, F Sotiropoulos, A Khosronejad Ocean Engineering 280, 114759, 2023 | 12 | 2023 |
| A data-driven machine learning approach for yaw control applications of wind farms C Santoni, Z Zhang, F Sotiropoulos, A Khosronejad Theoretical and Applied Mechanics Letters 13 (5), 100471, 2023 | 7 | 2023 |
| Three-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithms Z Zhang, AB Limaye, A Khosronejad Computers & Fluids 246, 105611, 2022 | 7 | 2022 |
| Numerical modelling of solitary wave and structure interactions using level-set and immersed boundary methods by adopting adequate inlet boundary conditions E Bagherizadeh, Z Zhang, A Farhadzadeh, D Angelidis, M Ghazian Arabi, ... Journal of Hydraulic Research 59 (4), 559-585, 2021 | 6 | 2021 |
| Toward ultra-efficient high fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models via LES-trained machine learning C Santoni, D Zhang, Z Zhang, D Samaras, F Sotiropoulos, A Khosronejad arXiv preprint arXiv:2404.07938, 2024 | 4 | 2024 |
| A Multilevel Finite Element Variational Multiscale Method for Incompressible Navier‐Stokes Equations Based on Two Local Gauss Integrations Y Zhang, B Huang, J Zhang, Z Zhang Mathematical Problems in Engineering 2017 (1), 4917054, 2017 | 4 | 2017 |
| Predicting turbulent wake flow of marine hydrokinetic turbine arrays in large-scale waterways via physics-enhanced convolutional neural networks Z Zhang, F Sotiropoulos, A Khosronejad Physics of Fluids 36 (4), 2024 | 3 | 2024 |
| A deep-learning approach for 3D realization of mean wake flow of marine hydrokinetic turbine arrays Z Zhang, F Sotiropoulos, A Khosronejad Energy Reports 12, 2621-2630, 2024 | 2 | 2024 |
| A novel LES-augmented machine learning algorithm for turbulent flow and bed morphodynamics prediction in large-scale environments Z Zhang, F Sotiropoulos, A Khosronejad APS Division of Fluid Dynamics Meeting Abstracts, X12. 009, 2024 | | 2024 |
| High-fidelity prediction of wind turbine wakes: Enhancing wake models using LES-trained machine learning algorithms C Santoni, D Zhang, Z Zhang, D Samaras, F Sotiropoulos, A Khosronejad APS Division of Fluid Dynamics Meeting Abstracts, C13. 016, 2024 | | 2024 |
| Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach Z Zhang, MG Anjiraki, H Seyedzadeh, F Sotiropoulos, A Khosronejad arXiv preprint arXiv:2407.18359, 2024 | | 2024 |
| Bed shear stress prediction of large-scale meandering rivers using convolutional neural networks Z Zhang, A Khosronejad Bulletin of the American Physical Society, 2023 | | 2023 |
| Hydrokinetic turbine wake flow reconstruction in large-scale waterways using physics-informed convolutional neural networks Z Zhang, A Khosronejad Bulletin of the American Physical Society 67, 2022 | | 2022 |
