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Ashwin Renganathan
Ashwin Renganathan
Andre navnS. Ashwin Renganathan, S. A. Renganathan
Assistant Professor, The Pennsylvania State University
Verifisert e-postadresse på gatech.edu - Startside
Tittel
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Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil
SA Renganathan, R Maulik, V Rao
Physics of Fluids 32 (4), 2020
882020
Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization
SA Renganathan, R Maulik, J Ahuja
Aerospace Science and Technology 111, 106522, 2021
872021
Aerodynamic data fusion toward the digital twin paradigm
SA Renganathan, K Harada, DN Mavris
AIAA journal 58 (9), 3902-3918, 2020
562020
Data-driven wind turbine wake modeling via probabilistic machine learning
S Ashwin Renganathan, R Maulik, S Letizia, GV Iungo
Neural Computing and Applications, 1-16, 2022
472022
Empirical assessment of deep gaussian process surrogate models for engineering problems
D Rajaram, TG Puranik, S Ashwin Renganathan, WJ Sung, OP Fischer, ...
Journal of Aircraft 58 (1), 182-196, 2021
292021
Deep Gaussian process enabled surrogate models for aerodynamic flows
D Rajaram, TG Puranik, A Renganathan, WJ Sung, OJ Pinon-Fischer, ...
AIAA scitech 2020 forum, 1640, 2020
292020
Koopman-based approach to nonintrusive projection-based reduced-order modeling with black-box high-fidelity models
SA Renganathan, Y Liu, DN Mavris
AIAA journal 56 (10), 4087-4111, 2018
212018
Koopman-based approach to nonintrusive reduced order modeling: Application to aerodynamic shape optimization and uncertainty propagation
SA Renganathan
AIAA journal 58 (5), 2221-2235, 2020
192020
Distributed hierarchical control system for a tandem axle drive system
RA Nellums, A Surianarayanan, SA Joshi, SC Krishnan, DG Smedley, ...
US Patent 9,020,715, 2015
182015
Numerical analysis of fuel—air mixing in a two-dimensional trapped vortex combustor
DP Mishra, R Sudharshan
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2010
172010
CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis
SA Renganathan, V Rao, IM Navon
Journal of Computational Physics 472, 111698, 2023
152023
Experimental investigation on the effect of microstructure modifiers and heat treatment influence on A356 alloy
J Baskaran, P Raghuvaran, S Ashwin
Materials Today: Proceedings 37, 3007-3010, 2021
152021
Sensitivity analysis of aero-propulsive coupling for over-wing-nacelle concepts
A Renganathan, SH Berguin, M Chen, J Ahuja, JC Tai, DN Mavris, D Hills
2018 AIAA Aerospace Sciences Meeting, 1757, 2018
142018
Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR …
GV Iungo, R Maulik, SA Renganathan, S Letizia
Journal of Renewable and Sustainable Energy 14 (2), 2022
122022
Lookahead acquisition functions for finite-horizon time-dependent bayesian optimization and application to quantum optimal control
SA Renganathan, J Larson, SM Wild
arXiv preprint arXiv:2105.09824, 2021
122021
A Methodology for Non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context
SA Renganathan
Georgia Institute of Technology, 2018
102018
Multifidelity Gaussian processes for failure boundary and probability estimation
A Renganathan, V Rao, I Navon
AIAA Scitech 2022 Forum, 0390, 2022
92022
Contour location for reliability in airfoil simulation experiments using deep gaussian processes
AS Booth, SA Renganathan, RB Gramacy
arXiv preprint arXiv:2308.04420, 2023
82023
Numerical study of flame/vortex interactions in 2-D Trapped Vortex Combustor
PD Mishra, R Sudharshan, KKP Ezhil
Thermal Science 18 (4), 1373-1387, 2014
72014
Sensitivity analysis of the overwing nacelle design space
J Ahuja, S Ashwin Renganathan, DN Mavris
Journal of Aircraft 59 (6), 1478-1492, 2022
62022
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Artikler 1–20