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 | 217 | 2021 |
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 | 51 | 2012 |
Turbulence Enrichment using Physics-informed Generative Adversarial Networks A Subramaniam, ML Wong, RD Borker, S Nimmagadda, SK Lele arXiv preprint arXiv:2003.01907, 2020 | 43 | 2020 |
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 | 31 | 2019 |
High-order Eulerian simulations of multimaterial elastic–plastic flow A Subramaniam, NS Ghaisas, SK Lele Journal of Fluids Engineering 140 (5), 050904, 2018 | 24 | 2018 |
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 | 21 | 2018 |
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 | 20 | 2020 |
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 | 13 | 2020 |
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 | 10 | 2016 |
Simulations of shock induced interfacial instabilities including materials with strength A Subramaniam Stanford University, 2018 | 8 | 2018 |
PadeOps Github Repository A Subramaniam, A Ghate, NS Ghaisas, MF Howland | 7 | 2021 |
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 | 6 | 2022 |
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 | 6 | 2003 |
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 | 5 | 2023 |
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 | 5 | 2020 |
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 | 5 | 2017 |
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 | 5 | 2017 |
Turbulence energetics in an inclined interface Richtmyer-Meshkov instability A Subramaniam, SK Lele Tenth International Symposium on Turbulence and Shear Flow Phenomena, 2017 | 4 | 2017 |
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 | 3 | 2024 |
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 | 3 | 2022 |