| 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 | 63 | 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 | 30 | 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 | 22 | 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 | 19 | 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 | 16 | 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 | 16 | 2020 |
| 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 | 6 | 2023 |
| 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 | 5 | 2023 |
| 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 | 5 | 2021 |
| 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, 2017 | 3 | 2017 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| 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 | | 2024 |
| 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 | | 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 |
| Predicting turbulence statistics of wind flow over oceanic waves using data-driven convolutional neural networks Z Zhang, X Hao, L Shen, F Sotiropoulos, A Khosronejad Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Development of deep learning-based reduced order model for turbine wake control C Santoni, A Khosronejad, Z Zhang, P Seiler, F Sotiropoulos Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Reconstruction of Flood Flow Turbulence Statistics in Large-scale Rivers Using an Autodecoder Convolutional Neural Network Z Zhang, A Khosronejad AGU Fall Meeting Abstracts 2021, EP15E-1365, 2021 | | 2021 |
| Prediction of three-dimensional flood-flow past bridge piers in a large-scale meandering river using convolutional neural networks Z Zhang, K Flora, S Kang, AB Limaye, A Khosronejad arXiv preprint arXiv:2106.11276, 2021 | | 2021 |
