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Muralikrishnan Gopalakrishnan Meena
Muralikrishnan Gopalakrishnan Meena
Other namesM Gopalakrishnan Meena, MG 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
502017
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
472021
Network community-based model reduction for vortical flows
M Gopalakrishnan Meena, AG Nair, K Taira
Physical Review E 97 (6), 063103, 2018
412018
Identifying vortical network connectors for turbulent flow modification
M Gopalakrishnan Meena, K Taira
Journal of Fluid Mechanics 915, A10, 2021
232021
Network broadcast analysis and control of turbulent flows
CA Yeh, MG Meena, K Taira
Journal of Fluid Mechanics 910, A15, 2021
222021
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
132019
Integrating quantum computing resources into scientific HPC ecosystems
T Beck, A Baroni, R Bennink, G Buchs, EAC Pérez, M Eisenbach, ...
Future Generation Computer Systems 161, 11-25, 2024
82024
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
72022
Low Reynolds number wake modification using a Gurney flap
M Gopalakrishnan Meena, K Taira, K Asai
55th AIAA Aerospace Sciences Meeting, 0543, 2017
62017
A glimpse into the fungal metabolomic abyss: Novel network analysis reveals relationships between exogenous compounds and their outputs
M Gopalakrishnan Meena, MJ Lane, J Tannous, AA Carrell, PE Abraham, ...
PNAS Nexus 2 (10), pgad322, 2023
3*2023
Network community-based analysis of complex vortical flows: Laminar and turbulent flows
MG Meena
University of California, Los Angeles, 2020
3*2020
Investigating Inherent Numerical Stabilization for the Moist, Compressible, Non‐Hydrostatic Euler Equations on Collocated Grids
MR Norman, C Eldred, M Gopalakrishnan Meena
Journal of Advances in Modeling Earth Systems 15 (10), e2023MS003732, 2023
22023
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
22023
Spatially Local Surrogate Modeling of Subgrid-Scale Effects in Idealized Atmospheric Flows: A Deep Learned Approach Using High-Resolution Simulation Data
M Gopalakrishnan Meena, MR Norman, DM Hall, MS Pritchard
Artificial Intelligence for the Earth Systems 3 (4), e230043, 2024
1*2024
Solving the Hele–Shaw flow using the Harrow–Hassidim–Lloyd algorithm on superconducting devices: A study of efficiency and challenges
M Gopalakrishnan Meena, KC Gottiparthi, JG Lietz, A Georgiadou, ...
Physics of Fluids 36 (10), 2024
12024
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
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
A Kashi, A Daw, MG Meena, H Lu
arXiv preprint arXiv:2406.16740, 2024
2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
M Gopalakrishnan Meena, D Liousas, AD Simin, A Kashi, WH Brewer, ...
arXiv e-prints, arXiv: 2404.16141, 2024
2024
Using bipartite networks to determine interactions between analytes and chemical treatments
MG Meena, MJ Lane, AG Geiger, DA Jacobson, J Tannous, TA Rush
US Patent App. 18/243,320, 2024
2024
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