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Shady E. Ahmed
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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
1482021
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
992020
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
602020
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
592019
Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows
S Pawar, SE Ahmed, O San, A Rasheed, IM Navon
Physics of Fluids 32 (7), 2020
552020
Nonlinear proper orthogonal decomposition for convection-dominated flows
SE Ahmed, O San, A Rasheed, T Iliescu
Physics of Fluids 33 (12), 2021
402021
Sampling and resolution characteristics in reduced order models of shallow water equations: Intrusive vs nonintrusive
SE Ahmed, O San, DA Bistrian, IM Navon
International Journal for Numerical Methods in Fluids 92 (8), 992-1036, 2020
372020
A dynamic closure modeling framework for model order reduction of geophysical flows
SM Rahman, SE Ahmed, O San
Physics of Fluids 31 (4), 046602, 2019
362019
Scientific machine learning for closure models in multiscale problems: A review
B Sanderse, P Stinis, R Maulik, SE Ahmed
arXiv preprint arXiv:2403.02913, 2024
232024
An evolve-then-correct reduced order model for hidden fluid dynamics
S Pawar, SE Ahmed, O San, A Rasheed
Mathematics 8 (4), 570, 2020
232020
Breaking the Kolmogorov barrier in model reduction of fluid flows
SE Ahmed, O San
Fluids 5 (1), 26, 2020
222020
Multifidelity computing for coupling full and reduced order models
SE Ahmed, O San, K Kara, R Younis, A Rasheed
Plos one 16 (2), e0246092, 2021
212021
PyDA: A hands-on introduction to dynamical data assimilation with python
SE Ahmed, S Pawar, O San
Fluids 5 (4), 225, 2020
212020
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks
AA Howard, SH Murphy, SE Ahmed, P Stinis
arXiv preprint arXiv:2311.06483, 2023
172023
Dynamic mode decomposition with core sketch
SE Ahmed, PH Dabaghian, O San, DA Bistrian, IM Navon
Physics of Fluids 34 (6), 2022
162022
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
SE Ahmed, S Pawar, O San, A Rasheed, M Tabib
Computers & Fluids 221, 104895, 2021
162021
Interface learning in fluid dynamics: Statistical inference of closures within micro–macro-coupling models
S Pawar, SE Ahmed, O San
Physics of Fluids 32 (9), 2020
162020
A multifidelity deep operator network approach to closure for multiscale systems
SE Ahmed, P Stinis
Computer Methods in Applied Mechanics and Engineering 414, 116161, 2023
152023
Hybrid analysis and modeling for next generation of digital twins
S Pawar, SE Ahmed, O San, A Rasheed
Journal of Physics: Conference Series 2018 (1), 012031, 2021
142021
Physics guided machine learning for variational multiscale reduced order modeling
SE Ahmed, O San, A Rasheed, T Iliescu, A Veneziani
SIAM Journal on Scientific Computing 45 (3), B283-B313, 2023
112023
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Articles 1–20