• Google Scholar

1. 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," in-review, 2024 (preprint)

2. A. Sahay, M. Gopalakrishnan Meena, and  R. I. Sujith "Insights into the interplay between hydrodynamic and acoustic fields in a turbulent combustor via community-based dimensionality reduction of vortical networks," in review, 2023 (preprint)

3. M. Gopalakrishnan Meena, M. R. Norman, D. M. Hall, and M. S. Pritchard, "Surrogate modeling of subgrid-scale effects in idealized atmospheric flows: A deep learned approach using high-resolution simulation data," in revision, 2023 (preprint)

4. 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)

5. 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)

6. 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)

7. 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)

8. 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)

9. M. Gopalakrishnan Meena and K. Taira, "Identifying vortical network connectors for turbulent flow modification", Journal of Fluid Mechanics, 915, A10, 2021 (link, preprint) 

10. 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)

11. 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)

12. 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)  

13. 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)

1. 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)

2. 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

3. 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 of The International Conference on High Performance Computing, Network, Storage, and Analysis, pp 73–80, 2023 (link)

4. 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)

5. 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)

6. 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)

7. 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)

8. 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)

9. 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)

10. 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)