Data-driven reduced-order modeling for nonlinear aerodynamics using an autoencoder neural network A Moni, W Yao, H Malekmohamadi Physics of Fluids 36 (1), 2024 | 1 | 2024 |
Data-Driven Reduced Order Modelling for Aerodynamic Shape Optimisation A Moni, W Yao, H Malekmohamadi AIAA SCITECH 2023 Forum, 2201, 2023 | 1 | 2023 |
Significance of parallel computing on the performance of Digital Image Correlation algorithms in MATLAB A Thoma, A Moni, S Ravi Designs 5 (1), 15, 2021 | 1 | 2021 |
Utilizing global-local neural networks for the analysis of non-linear aerodynamics A Moni, W Yao, H Malekmohamadi Aerospace Science and Technology 152, 109359, 2024 | | 2024 |
Data-Driven Nonintrusive Model-Order Reduction for Aerodynamic Design Optimization A Moni, W Yao, H Malekmohamadi AIAA Journal, 1-21, 2024 | | 2024 |
Reducing velocity error and its consequences by an iterative feedback immersed boundary method Q Huang, Z Liu, A Moni, S Ravi, FB Tian, J Young, J Lai Proceedings of the 15th World Congress on Computational Mechanics (WCCM) and …, 2022 | | 2022 |
Reduced-Order Modelling for Multi-disciplinary Design Optimisation A Moni, W Yao, H Malekmohamadi | | |