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Muralikrishnan Gopalakrishnan Meena
Muralikrishnan Gopalakrishnan Meena
Computational Scientist, Oak Ridge National Laboratory
Verified email at ornl.gov - Homepage
Title
Cited by
Cited by
Year
Airfoil-wake modification with Gurney flap at low Reynolds number
M Gopalakrishnan Meena, K Taira, K Asai
AIAA Journal 56 (4), 1348-1359, 2017
302017
Network community-based model reduction for vortical flows
M Gopalakrishnan Meena, AG Nair, K Taira
Physical Review E 97 (6), 063103, 2018
272018
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
132021
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
92019
Identifying vortical network connectors for turbulent flow modification
M Gopalakrishnan Meena, K Taira
Journal of Fluid Mechanics 915, A10, 2021
82021
Network broadcast analysis and control of turbulent flows
CA Yeh, MG Meena, K Taira
Journal of Fluid Mechanics 910, 2021
72021
Network community-based analysis of complex vortical flows: Laminar and turbulent flows
M Gopalakrishnan Meena
UCLA, 2020
2*2020
Low Reynolds number wake modification using a Gurney flap
M Gopalakrishnan Meena, K Taira, K Asai
55th AIAA Aerospace Sciences Meeting, 0543, 2017
22017
Characterizing influential networked structures in isotropic turbulence
M Gopalakrishnan Meena, K Taira
11th International Symposium on Turbulence and Shear Flow Phenomena …, 2019
12019
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
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
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
2022
A deep learned subgrid-scale surrogate model for cloud-like flows from high-resolution simulation data
MG Meena, MR Norman, D Hall
AGU Fall Meeting 2021, 2021
2021
AI in Weather and Climate Modeling: From Theoretical Advances to Operational Use I Oral
MG Meena, SJ Silva, L Passarella, MS Pritchard, MR Norman, S Mahajan, ...
AGU Fall Meeting 2021, 2021
2021
A deep learned subgrid-scale surrogate model for cloud-like flows from high-resolution simulation data
M Gopalakrishnan Meena, M Norman, D Hall
AGU Fall Meeting Abstracts 2021, A15E-1689, 2021
2021
Assessing Teleconnections-Induced Predictability of Regional Water Cycle on Seasonal to Decadal Timescales Using Machine Learning Approaches
S Mahajan, LS Passarella, FM Hoffman, MG Meena, M Xu
Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021
2021
Towards a deep learned subgrid-scale surrogate model for stratified turbulence from high-resolution simulation data
M Gopalakrishnan Meena, MR Norman
AGU Fall Meeting Abstracts 2020, A068-0013, 2020
2020
Network broadcast mode analysis and control with respect to time-varying base flow1
CA Yeh, M Gopalakrishnan Meena, K Taira
APS Division of Fluid Dynamics Meeting Abstracts, K09. 007, 2020
2020
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