Muralikrishnan Gopalakrishnan Meena

19 papers Misc 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging paradigms: Designing for HPC-Quantum convergence.
Future Gener. Comput. Syst.
Amir Shehata, Peter Groszkowski, Thomas J. Naughton, Muralikrishnan Gopalakrishnan Meena, Elaine Wong, Daniel Claudino, Rafael Ferreira da Silva, Thomas Beck
2026 J jnl
LuGo: An enhanced quantum phase estimation implementation.
Future Gener. Comput. Syst.
Chao Lu, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi
2025 J jnl
Building a Software Stack for Quantum-HPC Integration.
CoRR
Amir Shehata, Peter Groszkowski, Thomas J. Naughton, Muralikrishnan Gopalakrishnan Meena, Elaine Wong, Daniel Claudino, Rafael Ferreira da Silva, Thomas Beck
2025 J jnl
Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training.
CoRR
Wesley Brewer, Muralikrishnan Gopalakrishnan Meena, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen M. de Bruyn Kops, P. K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang
2025 J jnl
LuGo: an Enhanced Quantum Phase Estimation Implementation.
CoRR
Chao Lu, Muralikrishnan Gopalakrishnan Meena, Kalyana Chakravarthi Gottiparthi
2025 J jnl
Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit.
CoRR
Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang
2025 J jnl
Scale-up Unlearnable Examples Learning with High-Performance Computing.
CoRR
Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo
2025 — conf
Scaling Hybrid Quantum-HPC Applications with the Quantum Framework.
SC Workshops
Srikar Chundury, Amir Shehata, Seongmin Kim, Muralikrishnan Gopalakrishnan Meena, Chao Lu, Kalyana C. Gottiparthi, Eduardo Antonio Coello Pérez, Frank Mueller, In-Saeng Suh
2025 J jnl
Scaling Hybrid Quantum-HPC Applications with the Quantum Framework.
CoRR
Srikar Chundury, Amir Shehata, Seongmin Kim, Muralikrishnan Gopalakrishnan Meena, Chao Lu, Kalyana C. Gottiparthi, Eduardo Antonio Coello Pérez, Frank Mueller, In-Saeng Suh
2024 J jnl
Integrating Quantum Computing Resources into Scientific HPC Ecosystems.
CoRR
Thomas L. Beck, Alessandro Baroni, Ryan S. Bennink, Gilles Buchs, Eduardo Antonio Coello Pérez, Markus Eisenbach, Rafael Ferreira da Silva, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Peter Groszkowski, Travis S. Humble, Ryan Landfield, Ketan Maheshwari, Sarp Oral, Michael A. Sandoval, Amir Shehata, In-Saeng Suh, Christopher Zimmer
2024 J jnl
Integrating quantum computing resources into scientific HPC ecosystems.
Future Gener. Comput. Syst.
Thomas L. Beck, Alessandro Baroni, Ryan S. Bennink, Gilles Buchs, Eduardo Antonio Coello Pérez, Markus Eisenbach, Rafael Ferreira da Silva, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Peter Groszkowski, Travis S. Humble, Ryan Landfield, Ketan Maheshwari, Sarp Oral, Michael A. Sandoval, Amir Shehata, In-Saeng Suh, Christopher Zimmer
2024 J jnl
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations.
CoRR
Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu
2024 J jnl
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models.
CoRR
Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin, Aditya Kashi, Wesley Brewer, James J. Riley, Stephen M. de Bruyn Kops
2024 J jnl
Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of deep time-series models.
Mach. Learn. Sci. Technol.
Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin, Aditya Kashi, Wesley H. Brewer, James J. Riley, Stephen M. de Bruyn Kops
2024 Misc conf
Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations.
QCE
Muralikrishnan Gopalakrishnan Meena, Yu Zhang, Weiwen Jiang, Youzuo Lin, Stefanie Günther, Xinfeng Gao
2023 — conf
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates.
SC Workshops
Wesley Brewer, Daniel Martínez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan
2023 — conf
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications.
High Performance Computing for Imaging
Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang
2020 — —
Network community-based analysis of complex vortical flows: Laminar and turbulent flows
Muralikrishnan Gopalakrishnan Meena
2019 J jnl
Randomized methods to characterize large-scale vortical flow network.
CoRR
Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Steven L. Brunton