J. Yin, P. Mijanur, M. P. Laiu, M. Gopalakrishnan Meena, J. Gounley, S. M. de Bruyn Kops, F. Wang, R. Sankaran, and P. Zhang, "Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit", in review, 2025 (preprint)
M. Norman, M. Gopalakrishnan Meena, K. Gottiparthi, N. Koukpaizan, and S. Nichols, "PortUrb: A Performance Portable, High-Order, Moist Atmospheric Large Eddy Simulation Model with Variable-Friction Immersed Boundaries", in review, 2025 (preprint, code)
C. Lu, M. Gopalakrishnan Meena, K. C. Gottiparthi, "LuGo: an Enhanced Quantum Phase Estimation Implementation", in review, 2025 (preprint)
A. Sahay, M. Gopalakrishnan Meena, and R. I. Sujith "Vortical interactions in turbulent thermoacoustic systems," Journal of Fluid Mechanics, 1018, A25, 2025 (link, preprint)
A. Shehata et al., "Bridging paradigms: Designing for HPC-Quantum convergence", Future Generation Computer Systems, 174, 107980, 2026 (link, preprint)
M. Gopalakrishnan Meena, D. Liousas, A. D. Simin, A. Kashi, W. H. Brewer, J. J. Riley, S. M. de Bruyn Kops, "Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of deep time-series models," Machine Learning: Science and Technology, 5 (4), 045063, 2024 (link, code, data)
M. Gopalakrishnan Meena, K. C. Gottiparthi, J. G. Lietz, A. Georgiadou, and E. A. Coello Pérez, "Solving the Hele-Shaw flow using the Harrow-Hassidim-Lloyd algorithm on superconducting devices: A study of efficiency and challenges," Physics of Fluids, 36 (10): 101705, 2024 (Featured Article) (link, preprint, code)
M. Gopalakrishnan Meena, M. R. Norman, D. M. Hall, and M. S. Pritchard, "Spatially local surrogate modeling of subgrid-scale effects in idealized atmospheric flows: A deep learned approach using high-resolution simulation data," Artificial Intelligence for the Earth Systems, 3 (4), e230043, 2024 (link, code, data)
T. Beck et al., "Integrating Quantum Computing Resources into Scientific HPC Ecosystems," Future Generation Computer Systems, 161, 11-25, 2024 (Editor's Choice Paper) (link)
M. Gopalakrishnan Meena, M. J. Lane, J. Tannous, A. A. Carrell, P. E. Abraham, R. J. Giannone, J-M Ané, N. P. Keller, J. L. Labbé, A. G. Geiger, D. Kainer, D. A. Jacobson, and T. A. Rush, "A glimpse into the fungal metabolomic abyss: Novel network analysis reveals relationships between exogenous compounds and their outputs", PNAS Nexus, Volume 2, Issue 10, 2023 (link)
M. R. Norman, C. Eldred, and M. Gopalakrishnan Meena, "Investigating inherent numerical stabilization for the moist, compressible, non-hydrostatic Euler equations on collocated grids," Journal of Advances in Modeling Earth Systems, 15, e2023MS003732, 2023 (link)
T. A. Rush, J. Tannous, M. J. Lane, M. Gopalakrishnan Meena, A. Carrell, J. Golan, M. Drott, S. Cottaz, S. Fort, J.-M. Ané, N. Keller, D. Pelletier, D. Jacobson, D. Kainer, P. Abraham, R. Giannone, and J. Labbé, "Lipo-chitooligosaccharides induce specialized fungal metabolite profiles that modulate bacterial growth", mSystems, e01052-22, 2022 (link)
T. A. Rush, H. K. Shrestha, M. Gopalakrishnan Meena, M. K. Spangler, J. C. Ellis, J. L. Labbé, and P. Abraham, "Bioprospecting Trichoderma: A systematic roadmap to screen genomes and natural products for biocontrol applications", Frontiers in Fungal Biology, 2:716511, 2021 (link)
S. Mahajan, L. S. Passarella, F. M. Hoffman, M. Gopalakrishnan Meena, and M. Xu, “Assessing teleconnections-induced predictability of regional water cycle on seasonal to decadal timescales using machine learning approaches”, DOE BER AI4ESP, No. AI4ESP1086, 2021 (link)
M. Gopalakrishnan Meena and K. Taira, "Identifying vortical network connectors for turbulent flow modification", Journal of Fluid Mechanics, 915, A10, 2021 (link, preprint)
C.-A. Yeh, M. Gopalakrishnan Meena, and K. Taira, "Network broadcast analysis and control of turbulent flows", Journal of Fluid Mechanics, 910, A15, 2021 (link, preprint)
Z. Bai, N. B. Erichson, M. Gopalakrishnan Meena, K. Taira, and S. L. Brunton, "Randomized methods to characterize large-scale vortical flow network", PLoS One, 14(11): e0225265, 2019 (link, preprint)
M. Gopalakrishnan Meena, A. G. Nair, and K. Taira, "Network community-based model reduction for vortical flows", Physical Review E, 97, 063103, 2018 (link, preprint, code)
M. Gopalakrishnan Meena, K. Taira, and K. Asai, "Airfoil wake modification with Gurney flap at low-Reynolds number", AIAA Journal, 56(4), 1348-1359, 2018 (link, preprint)
S. Chundury, S. Kim, A. Shehata, M. Gopalakrishnan Meena, C. Lu, K. C. Gottiparthi, E. A. Coello Pérez, F. Mueller, and I.-S. Suh, "Scaling Hybrid Quantum–HPC Applications with the Quantum Framework," 1st International Workshop for Software Frameworks and Workload Management on Quantum and HPC Ecosystems, Proceedings of the SC'25 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, November, 2025 (preprint)
C. Lu, M. Gopalakrishnan Meena, A. Georgiadou, K. C. Gottiparthi, M. Sandoval, E. A. Coello Pérez, P. Lin, I.-S. Suh, and S. Kim, "Practical Scalability of LuGo: Benchmarking the HHL Algorithm Using an Enhanced QPE Algorithm", 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, Aug 31 - Sep 5, 2025
M. Gopalakrishnan Meena, C. Lu, E. A. Coello Pérez, A. Shehata, S. Kim, K. C. Gottiparthi, and I.-S. Suh, "Assessing VQLS for Fluid Dynamics on a Hybrid Quantum-HPC Stack", 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, Aug 31 - Sep 5, 2025
E. A. Coello Pérez, D. Bykov, M. Eisenbach, S. Ghosh, M. Gopalakrishnan Meena, S. Kim, M. Karabin, D. Rogers, A. Shehata, T. Sohail, I.-S. Suh, and H. Terletska, "Quantum ansätze for Green’s functions of single-impurity Anderson models at half-filling", 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, Aug 31 - Sep 5, 2025
A. Ziabari, A. Tabassum, M. Gopalakrishnan Meena, and A. Cheniour, "Constrained GAN-Generated X-ray CT Data for Self-Supervised and Foundation-Model Segmentation of Concrete Microstructures", IEEE International Conference on Image Processing (ICIP) 2025, Anchorage, AK, September 14–17, 2025 (link)
Y. Zhu, I. Lyngaas, M. Gopalakrishnan Meena, M. E. I. Koran, B. Malin, D. Moyer, S. Bao, A. Kapadia, X. Wang, B. Landman, and Y. Huo, "Scale-up Unlearnable Examples Learning with High-performance Computing", High Performance Computing for Imaging Conference at Electronic Imaging Symposium, San Francisco, CA, February 2-6, 2025 (link)
M. Gopalakrishnan Meena, Y. Zhang, W. Jiang, Y. Lin, S. Guenther, and X. Gao, "Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations", 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montréal, Canada, September 14-21, pp. 662-668, 2024 (link)
A. Kashi, A. Daw, M. Gopalakrishnan Meena, H. Lu, "Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations," 2024 International Conference on Machine Learning (ICML) AI for Science Workshop, Vienna, Austria, July 21-27, 2024. (preprint)
D. Liousas, A. D. Simin, W. H. Brewer, A. Kashi, S. M. de Bruyn Kops, and M. Gopalakrishnan Meena (mentor), "Predicting Timescales in Dynamical Systems With Explainable Machine Learning Models," XAI4Sci: Explainable machine learning for sciences, 38th Annual AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 20-27, 2024 (link, additional info)
I. Lyngaas, E. Calabrese, M. Gopalakrishnan Meena, and X. Wang, "Efficient Distributed Sequence Parallelism for Transformer-based Image Segmentation," High Performance Computing for Imaging Conference at Electronic Imaging Symposium, San Francisco, CA, January 21-25, 2024 (link)
W. Brewer, D. Martinez, M. Gopalakrishnan Meena, K. Borowiec, A. Kashi, S. Liu, C. Pilmaier, G. Burgreen, and S. Bhushan, "Entropy-Driven Optimal Sub-Sampling of Fluid Dynamics for Developing Machine-Learned Surrogates," 4th Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, In Proceedings of the SC'23 Workshops, pp 73–80, 2023 (link)
M. Gopalakrishnan Meena, A. K. Ziabari, S. V. Venkatakrishnan, I. R. Lyngaas, M. R. Norman, B. Joo, T. L. Beck, C. A. Bouman, A. J. Kapadia, and X. Wang, "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 Conference at Electronic Imaging Symposium, San Francisco, CA, January 15-19, 2023 (Selected for Conference Best Paper Award and Symposium Highlights Session) (link)
N. L. Hickmon, et al., "Artificial Intelligence for Earth System Predictability (AI4ESP) Workshop Report (Section: Knowledge Discovery and Statistical Learning)", No. ANL-22/54. Argonne National Laboratory, Argonne, IL (United States), 2022 (link)
M. Gopalakrishnan Meena, M. R. Norman, and D. M. Hall, "Subgrid-scale surrogate modeling of idealized atmospheric flows: A deep learned approach using high-resolution simulation data," 12th International Symposium on Turbulence and Shear Flow Phenomena, Osaka, Japan, July 19 - 22 (Online), 2022 (TSFP 12 229) (link)
M. R. Norman and M. Gopalakrishnan Meena, "Confident, adaptable, and robust machine learning to augment traditional modeling and simulation," Position Papers for the ASCR Workshop on Reimagining Codesign, USDOE Office of Science (United States), 2021 (link)
M. Gopalakrishnan Meena and K. Taira, "Characterizing influential networked structures in isotropic turbulence," 11th International Symposium on Turbulence and Shear Flow Phenomena, Southampton, UK, July 30 - Aug. 2, 2019 (TSFP 11 235) (link)
M. Gopalakrishnan Meena, K. Taira, and K. Asai, "Low Reynolds number wake modification using a Gurney flap," 55th AIAA Aerospace Sciences Meeting, Grapevine, TX, Jan.~9-13, 2017 (AIAA 2017-0543) (link)
M. Gopalakrishnan Meena, A. Anandakrishnan, and M. A. Kavumcheril, "Numerical study on heat transfer and fluid flow in pin fin-dimple channels with fillet on dimple edge", ASME Gas Turbine India Conference, New Delhi, India, Dec. 15-17, 2014 (GTINDIA2014-8103) (link)
M. Gopalakrishnan Meena, "Network community-based analysis of complex vortical flows: Laminar and turbulent flows", Ph.D. Dissertation, University of California, Los Angeles, 2020 (link)