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2020 – today
- 2024
[j4]Hang Song
, Aditya S. Ghate, Kristen V. Matsuno, Jacob R. West, Akshay Subramaniam, Sanjiva K. Lele:
A robust compact finite difference framework for simulations of compressible turbulent flows. J. Comput. Phys. 519: 113419 (2024)- 2023
- [c2]Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard:
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS 2023 - [i5]Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.:
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR abs/2306.08754 (2023) - 2022
- [j3]Hang Song, Kristen V. Matsuno, Jacob R. West, Akshay Subramaniam, Aditya S. Ghate, Sanjiva K. Lele:
Scalable parallel linear solver for compact banded systems on heterogeneous architectures. J. Comput. Phys. 468: 111443 (2022) - [i4]Tao Ge, Jaideep Pathak, Akshay Subramaniam, Karthik Kashinath:
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting. CoRR abs/2210.12293 (2022) - 2021
- [c1]Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry:
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. ICCS (5) 2021: 447-461 - 2020
- [i3]Akshay Subramaniam, Man Long Wong, Raunak D. Borker, Sravya Nimmagadda, Sanjiva K. Lele:
Turbulence Enrichment using Physics-informed Generative Adversarial Networks. CoRR abs/2003.01907 (2020) - [i2]Guang Chao Wang, Kenny Gross, Akshay Subramaniam:
ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases. CoRR abs/2003.08011 (2020) - [i1]Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry:
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. CoRR abs/2012.07938 (2020)
2010 – 2019
- 2019
- [j2]Akshay Subramaniam, Man Long Wong, Sanjiva K. Lele:
A high-order weighted compact high resolution scheme with boundary closures for compressible turbulent flows with shocks. J. Comput. Phys. 397 (2019) - 2018
- [j1]Niranjan S. Ghaisas, Akshay Subramaniam, Sanjiva K. Lele:
A unified high-order Eulerian method for continuum simulations of fluid flow and of elastic-plastic deformations in solids. J. Comput. Phys. 371: 452-482 (2018)
Coauthor Index
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