Airfoil-wake modification with Gurney flap at low Reynolds number M Gopalakrishnan Meena, K Taira, K Asai AIAA Journal 56 (4), 1348-1359, 2017 | 39 | 2017 |
Network community-based model reduction for vortical flows M Gopalakrishnan Meena, AG Nair, K Taira Physical Review E 97 (6), 063103, 2018 | 31 | 2018 |
Bioprospecting Trichoderma: A systematic roadmap to screen genomes and natural products for biocontrol applications TA Rush, HK Shrestha, M Gopalakrishnan Meena, MK Spangler, JC Ellis, ... Frontiers in Fungal Biology, 41, 2021 | 22 | 2021 |
Identifying vortical network connectors for turbulent flow modification M Gopalakrishnan Meena, K Taira Journal of Fluid Mechanics 915, A10, 2021 | 13 | 2021 |
Network broadcast analysis and control of turbulent flows CA Yeh, MG Meena, K Taira Journal of Fluid Mechanics 910, A15, 2021 | 11 | 2021 |
Randomized methods to characterize large-scale vortical flow networks Z Bai, NB Erichson, M Gopalakrishnan Meena, K Taira, SL Brunton PloS one 14 (11), e0225265, 2019 | 11 | 2019 |
Low Reynolds number wake modification using a Gurney flap M Gopalakrishnan Meena, K Taira, K Asai 55th AIAA Aerospace Sciences Meeting, 0543, 2017 | 4 | 2017 |
Network community-based analysis of complex vortical flows: Laminar and turbulent flows M Gopalakrishnan Meena UCLA, 2020 | 2* | 2020 |
A guidance into the fungal metabolomic abyss: network analysis for revealing relationships between exogenous compounds and their outputs MG Meena, MJ Lane, J Tannous, AA Carrell, PE Abraham, RJ Giannone, ... bioRxiv, 2022.08. 11.503656, 2022 | 1 | 2022 |
Characterizing influential networked structures in isotropic turbulence M Gopalakrishnan Meena, K Taira 11th International Symposium on Turbulence and Shear Flow Phenomena …, 2019 | 1 | 2019 |
Numerical study on heat transfer and fluid flow in pin fin-dimple channels with fillet on dimple edge M Gopalakrishnan Meena, A Anandakrishnan, MA Kavumcheril ASME 2014 Gas Turbine India Conference, V001T04A002-V001T04A002, 2014 | 1* | 2014 |
A machine learning approach for second moment closure modeling of stably stratified turbulence M Gopalakrishnan Meena, A Simin, J Riley, S de Bruyn Kops Bulletin of the American Physical Society, 2023 | | 2023 |
Surrogate modeling of subgrid-scale effects in idealized atmospheric flows: A deep learned approach using high-resolution simulation data MG Meena, MR Norman, DM Hall, MS Pritchard Authorea Preprints, 2023 | | 2023 |
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications MG Meena, AK Ziabari, SV Venkatakrishnan, IR Lyngaas, MR Norman, ... Electronic Imaging 35, 1-7, 2023 | | 2023 |
Lipo-Chitooligosaccharides Induce Specialized Fungal Metabolite Profiles That Modulate Bacterial Growth TA Rush, J Tannous, MJ Lane, M Gopalakrishnan Meena, AA Carrell, ... Msystems 7 (6), e01052-22, 2022 | | 2022 |
Machine learned surrogate model for subgrid-scale turbulence effects in supercell flows using the miniWeatherML app MR Norman, M Gopalakrishnan Meena AGU Fall Meeting Abstracts 2022, NG22B-0359, 2022 | | 2022 |
Subgrid-scale surrogate modeling of idealized atmospheric flows: A deep learned approach using high-resolution simulation data M Gopalakrishnan Meena, M Norman, DM Hall Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2022 | | 2022 |
Subgrid-Scale Surrogate Modeling of Cloud-like Flows: An AI-Based Approach Using High-Resolution Simulation Data MG Meena, M Norman, DM Hall 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
AI in Weather and Climate Modeling: Bridging the Gap between Theoretical Advances and Production Use MG Meena, SJ Silva, M Pritchard, M Norman, S Garimella 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
AI for Statistical Parameterization of Unresolved Processes in Earth System Models L Passarella, A Pal, MG Meena, AJ van der Westhuysen 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |