Παρακολούθηση
Omer San
Omer San
Associate Professor, Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα utk.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Digital twin: Values, challenges and enablers from a modeling perspective
A Rasheed, O San, T Kvamsdal
Ieee Access 8, 21980-22012, 2020
11562020
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
3002019
A neural network approach for the blind deconvolution of turbulent flows
R Maulik, O San
Journal of Fluid Mechanics 831, 151-181, 2017
2152017
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
1492019
An artificial neural network framework for reduced order modeling of transient flows
O San, R Maulik, M Ahmed
Communications in Nonlinear Science and Numerical Simulation 77, 271-287, 2019
1482019
Neural network closures for nonlinear model order reduction
O San, R Maulik
Advances in Computational Mathematics 44 (6), 1717–1750, 2018
1402018
Digital twin: Values, challenges and enablers
A Rasheed, O San, T Kvamsdal
arXiv preprint arXiv:1910.01719, 2019
1202019
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
1152021
Physics guided machine learning using simplified theories
S Pawar, O San, B Aksoylu, A Rasheed, T Kvamsdal
Physics of Fluids 33 (1), 2021
1022021
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
R Maulik, O San, A Rasheed, P Vedula
Physics of Fluids 30 (12), 2018
1012018
Extreme learning machine for reduced order modeling of turbulent geophysical flows
O San, R Maulik
Physical Review E 97 (4), 042322, 2018
962018
Proper orthogonal decomposition closure models for fluid flows: Burgers equation
O San, T Iliescu
International Journal of Numerical Analysis & Modeling - Series B 5 (3), 217-237, 2014
902014
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
872020
Sub-grid scale model classification and blending through deep learning
R Maulik, O San, JD Jacob, C Crick
Journal of Fluid Mechanics 870, 784-812, 2019
862019
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
832020
Approximate deconvolution large eddy simulation of a barotropic ocean circulation model
O San, AE Staples, Z Wang, T Iliescu
Ocean Modelling 40 (2), 120-132, 2011
822011
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
772019
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
752020
A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation
O San, T Iliescu
Advances in Computational Mathematics 41, 1289-1319, 2015
752015
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
722020
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