Παρακολούθηση
Suraj Pawar
Suraj Pawar
Shell International E&P Inc.
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα okstate.edu
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Παρατίθεται από
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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
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 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
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
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
542020
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
492020
Data assimilation empowered neural network parametrizations for subgrid processes in geophysical flows
S Pawar, O San
Physical Review Fluids 6 (5), 050501, 2021
412021
Model fusion with physics-guided machine learning: Projection-based reduced-order modeling
S Pawar, O San, A Nair, A Rasheed, T Kvamsdal
Physics of Fluids 33 (6), 2021
342021
Physics guided neural networks for modelling of non-linear dynamics
H Robinson, S Pawar, A Rasheed, O San
Neural Networks 154, 333-345, 2022
322022
Multi-fidelity information fusion with concatenated neural networks
S Pawar, O San, P Vedula, A Rasheed, T Kvamsdal
Scientific Reports 12 (1), 5900, 2022
272022
CFD Julia: A learning module structuring an introductory course on computational fluid dynamics
S Pawar, O San
Fluids 4 (3), 159, 2019
262019
Relevance of transition turbulent model for hydrodynamic characteristics of low Reynolds number propeller
S Pawar, S Brizzolara
Applied Ocean Research 87, 165-178, 2019
222019
An evolve-then-correct reduced order model for hidden fluid dynamics
S Pawar, SE Ahmed, O San, A Rasheed
Mathematics 8 (4), 570, 2020
202020
Frame invariant neural network closures for Kraichnan turbulence
S Pawar, O San, A Rasheed, P Vedula
Physica A: Statistical Mechanics and its Applications 609, 128327, 2023
172023
PyDA: A hands-on introduction to dynamical data assimilation with python
SE Ahmed, S Pawar, O San
Fluids 5 (4), 225, 2020
172020
Assessment of AUV hydrodynamic coefficients from analytic and semi-empirical methods
ME Kepler, S Pawar, DJ Stilwell, S Brizzolara, WL Neu
OCEANS 2018 MTS/IEEE Charleston, 1-9, 2018
162018
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
152020
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
142021
Distributed deep reinforcement learning for simulation control
S Pawar, R Maulik
Machine Learning: Science and Technology 2 (2), 025029, 2021
142021
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