Digital twin: Values, challenges and enablers from a modeling perspective A Rasheed, O San, T Kvamsdal IEEE access 8, 21980-22012, 2020 | 1252 | 2020 |
CitySim: Comprehensive micro-simulation of resource flows for sustainable urban planning D Robinson, F Haldi, P Leroux, D Perez, A Rasheed, U Wilke Proceedings of the Eleventh International IBPSA Conference, 1083-1090, 2009 | 463 | 2009 |
Subgrid modelling for two-dimensional turbulence using neural networks R Maulik, O San, A Rasheed, P Vedula Journal of Fluid Mechanics 858, 122-144, 2019 | 315 | 2019 |
A deep learning enabler for nonintrusive reduced order modeling of fluid flows S Pawar, SM Rahman, H Vaddireddy, O San, A Rasheed, P Vedula Physics of Fluids 31 (8), 2019 | 163 | 2019 |
Digital twin: Values, challenges and enablers A Rasheed, O San, T Kvamsdal arXiv preprint arXiv:1910.01719, 2019 | 125 | 2019 |
On closures for reduced order models—A spectrum of first-principle to machine-learned avenues SE Ahmed, S Pawar, O San, A Rasheed, T Iliescu, BR Noack Physics of Fluids 33 (9), 2021 | 121 | 2021 |
Physics guided machine learning using simplified theories S Pawar, O San, B Aksoylu, A Rasheed, T Kvamsdal Physics of Fluids 33 (1), 2021 | 112 | 2021 |
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence R Maulik, O San, A Rasheed, P Vedula Physics of Fluids 30 (12), 2018 | 104 | 2018 |
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data H Vaddireddy, A Rasheed, AE Staples, O San Physics of Fluids 32 (1), 2020 | 94 | 2020 |
Data-driven recovery of hidden physics in reduced order modeling of fluid flows S Pawar, SE Ahmed, O San, A Rasheed Physics of Fluids 32 (3), 2020 | 86 | 2020 |
Effect of turbulence intensity on the performance of an offshore vertical axis wind turbine MS Siddiqui, A Rasheed, T Kvamsdal, M Tabib Energy Procedia 80, 312-320, 2015 | 80 | 2015 |
COLREG-compliant collision avoidance for unmanned surface vehicle using deep reinforcement learning E Meyer, A Heiberg, A Rasheed, O San Ieee Access 8, 165344-165364, 2020 | 79 | 2020 |
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning E Meyer, H Robinson, A Rasheed, O San IEEE Access 8, 41466-41481, 2020 | 79 | 2020 |
Nonintrusive reduced order modeling framework for quasigeostrophic turbulence SM Rahman, S Pawar, O San, A Rasheed, T Iliescu Physical Review E 100 (5), 053306, 2019 | 79 | 2019 |
The late-time development of the Richtmyer–Meshkov instability JK Prasad, A Rasheed, S Kumar, B Sturtevant Physics of Fluids 12 (8), 2108-2115, 2000 | 65 | 2000 |
Loss of the mono-ADP-ribosyltransferase, Tiparp, increases sensitivity to dioxin-induced steatohepatitis and lethality S Ahmed, D Bott, A Gomez, L Tamblyn, A Rasheed, T Cho, L MacPherson, ... Journal of Biological Chemistry 290 (27), 16824-16840, 2015 | 64 | 2015 |
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence S Pawar, O San, A Rasheed, P Vedula Theoretical and Computational Fluid Dynamics 34 (4), 429-455, 2020 | 56 | 2020 |
Memory embedded non-intrusive reduced order modeling of non-ergodic flows SE Ahmed, SM Rahman, O San, A Rasheed, IM Navon Physics of Fluids 31 (12), 2019 | 55 | 2019 |
A long short-term memory embedding for hybrid uplifted reduced order models SE Ahmed, O San, A Rasheed, T Iliescu Physica D: Nonlinear Phenomena 409, 132471, 2020 | 54 | 2020 |
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution O San, A Rasheed, T Kvamsdal GAMM‐Mitteilungen 44 (2), e202100007, 2021 | 53 | 2021 |