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Akshay Subramaniam
Akshay Subramaniam
NVIDIA
Verified email at alumni.stanford.edu
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Cited by
Year
NVIDIA SimNet™: An AI-accelerated multi-physics simulation framework
O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali, ...
International conference on computational science, 447-461, 2021
2172021
Fundamental properties of five Kepler stars using global asteroseismic quantities and ground-based observations
OL Creevey, G Doğan, A Frasca, AO Thygesen, S Basu, J Bhattacharya, ...
Astronomy & Astrophysics 537, A111, 2012
512012
Turbulence Enrichment using Physics-informed Generative Adversarial Networks
A Subramaniam, ML Wong, RD Borker, S Nimmagadda, SK Lele
arXiv preprint arXiv:2003.01907, 2020
432020
A high-order weighted compact high resolution scheme with boundary closures for compressible turbulent flows with shocks
A Subramaniam, ML Wong, SK Lele
Journal of Computational Physics 397, 108822, 2019
312019
High-order Eulerian simulations of multimaterial elastic–plastic flow
A Subramaniam, NS Ghaisas, SK Lele
Journal of Fluids Engineering 140 (5), 050904, 2018
242018
A unified high-order Eulerian method for continuum simulations of fluid flow and of elastic–plastic deformations in solids
NS Ghaisas, A Subramaniam, SK Lele
Journal of Computational Physics 371, 452-482, 2018
212018
Max Rietmann, Jose del Aguila Ferrandis, Wonmin Byeon, Zhiwei Fang, and Sanjay Choudhry. Nvidia simnetˆ {TM}: an ai-accelerated multi-physics simulation framework
O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali
arXiv preprint arXiv:2012.07938, 2020
202020
J. d. A. Ferrandis, W. Byeon, Z. Fang, S. Choudhry, Nvidia simnetˆ {TM}: an ai-accelerated multi-physics simulation framework
O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali, ...
arXiv preprint arXiv:2012.07938 14, 2020
132020
High-order eulerian methods for elastic-plastic flow in solids and coupling with fluid flows
NS Ghaisas, A Subramaniam, SK Lele
46th AIAA Fluid Dynamics Conference, 3350, 2016
102016
Simulations of shock induced interfacial instabilities including materials with strength
A Subramaniam
Stanford University, 2018
82018
PadeOps Github Repository
A Subramaniam, A Ghate, NS Ghaisas, MF Howland
72021
Robust high-resolution simulations of compressible turbulent flows without filtering
H Song, AS Ghate, K Matsuno, J West, A Subramaniam, LJ Brown, ...
AIAA Aviation 2022 Forum, 4122, 2022
62022
Turbulence enrichment using physics-informed generative adversarial networks (2020)
A Subramaniam, ML Wong, RD Borker, S Nimmagadda, SK Lele
arXiv preprint arXiv:2003.01907, 2003
62003
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
S Yu, WM Hannah, L Peng, MA Bhouri, R Gupta, J Lin, B Lütjens, JC Will, ...
arXiv preprint arXiv:2306.08754, 2023
52023
Man Long Wong, Raunak D Borker, Sravya Nimmagadda, and Sanjiva K Lele. Turbulence enrichment using physics-informed generative adversarial networks
A Subramaniam
arXiv preprint arXiv:2003.01907, 2020
52020
Evaluation of an Eulerian multi-material mixture formulation based on a single inverse deformation gradient tensor field
NS Ghaisas, A Subramaniam, SK Lele, AW Cook
Center for Turbulence Research Annual Briefs 2017 (LLNL-JRNL-741479), 2017
52017
Evaluation of an Eulerian Multi-Material Mixture Formulation Based on a Single Inverse Deformation Gradient Tensor Field
AW Cook, NS Ghaisas, A Subramaniam, SK Lele
Center for Turbulence Research Annual Research Briefs, 2017
52017
Turbulence energetics in an inclined interface Richtmyer-Meshkov instability
A Subramaniam, SK Lele
Tenth International Symposium on Turbulence and Shear Flow Phenomena, 2017
42017
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
S Yu, W Hannah, L Peng, J Lin, MA Bhouri, R Gupta, B Lütjens, JC Will, ...
Advances in Neural Information Processing Systems 36, 2024
32024
Scalable parallel linear solver for compact banded systems on heterogeneous architectures
H Song, KV Matsuno, JR West, A Subramaniam, AS Ghate, SK Lele
Journal of Computational Physics 468, 111443, 2022
32022
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