Omer San

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	すべて	2020 年以来
引用	6957	6198
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80 件の論文

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adil rasheedNTNU確認したメールアドレス: ntnu.no
Suraj PawarShell International E&P Inc.確認したメールアドレス: okstate.edu
Romit MaulikAssistant Professor and ICDS Co-Hire: Pennsylvania State University確認したメールアドレス: psu.edu
Trond KvamsdalProfessor of Mathematics at Norwegian University of Science and Technology, Norway. SINTEF Digital確認したメールアドレス: ntnu.no
Shady E. AhmedPostdoctoral Fellow, Pacific Northwest National Laboratory確認したメールアドレス: pnnl.gov
Traian IliescuProfessor of Mathematics, Virginia Tech確認したメールアドレス: vt.edu
Anne E. StaplesAssociate Professor, Virginia Tech確認したメールアドレス: vt.edu
Kursat KaraAssistant Professor, Mechanical and Aerospace Engineering, Oklahoma State University確認したメールアドレス: okstate.edu
Sk Mashfiqur RahmanPh.D. Candidate, North Carolina State University確認したメールアドレス: ncsu.edu
Mandar Tabib[email protected]確認したメールアドレス: sintef.no
Harsha VaddireddyCadence Design Systems, University of Alabama確認したメールアドレス: crimson.ua.edu
Furkan OzOak Ridge National Lab確認したメールアドレス: ornl.gov
Jeff BorggaardInterdisciplinary Center for Applied Mathematics, Virginia Tech確認したメールアドレス: vt.edu
Sindre Stenen BlaksethPhD Candidate, Norwegian University of Science and Technology / Master of Science, SINTEF Energy確認したメールアドレス: sintef.no
Shafi Al Salman RomeoPh.D. Student確認したメールアドレス: okstate.edu
Ashraf KassemSchool of Mechanical and Aerospace Engineering, Oklahoma State University確認したメールアドレス: okstate.edu
Jamey JacobOklahoma State University, Unmanned Systems Research Institute確認したメールアドレス: okstate.edu
Haakon RobinsonNorwegian University of Science and Technology確認したメールアドレス: ntnu.no
Changhong MouDepartment of Mathematics, Purdue University確認したメールアドレス: purdue.edu
Christopher CrickAssociate Professor of Computer Science, Oklahoma State University確認したメールアドレス: cs.okstate.edu

フォロー

Omer San

Associate Professor, Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee

確認したメールアドレス: utk.edu - ホームページ

Fluid Dynamics Numerical Methods Data Assimilation Machine Learning Digital Twin


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Digital twin: Values, challenges and enablers from a modeling perspective A Rasheed, O San, T Kvamsdal Ieee Access 8, 21980-22012, 2020	1626	2020
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	351	2019
A neural network approach for the blind deconvolution of turbulent flows R Maulik, O San Journal of Fluid Mechanics 831, 151-181, 2017	231	2017
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	183	2019
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	175	2019
Neural network closures for nonlinear model order reduction O San, R Maulik Advances in Computational Mathematics 44 (6), 1717–1750, 2018	158	2018
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	149	2021
Physics guided machine learning using simplified theories S Pawar, O San, B Aksoylu, A Rasheed, T Kvamsdal Physics of Fluids 33 (1), 2021	144	2021
Digital twin: Values, challenges and enablers A Rasheed, O San, T Kvamsdal arXiv preprint arXiv:1910.01719, 2019	140	2019
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	109	2020
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence R Maulik, O San, A Rasheed, P Vedula Physics of Fluids 30 (12), 2018	109	2018
Extreme learning machine for reduced order modeling of turbulent geophysical flows O San, R Maulik Physical Review E 97 (4), 042322, 2018	105	2018
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	100	2020
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	99	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	96	2019
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	96	2019
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	93	2014
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	92	2020
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	88	2011
Machine learning closures for model order reduction of thermal fluids O San, R Maulik Applied Mathematical Modelling 60, 681-710, 2018	84	2018

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