Maruti Kumar Mudunuru

Author

Also Known As

Bulbul Ahmmed, James Stegen, Li, Zhi, M K Mudunuru, M. K. Mudunuru, M.K. Mudunuru, Maruti K Mudunuru, Maruti K. Mudunuru, Maruti Kumar Mudunuru, Maruti Mudunuru

170

Publications

810

Citations

H-Index

Concepts

All Affiliations

Los Alamos National Laboratory Pacific Northwest National Laboratory University of Houston United States Geological Survey The University of Texas at Austin

About

Maruti Kumar Mudunuru is an author at Los Alamos National Laboratory specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	19	485
2	Management	2	2	26
3	Natural Sciences	2	2	47
4	Biomedical Engineering	1	1	17
5	Biostatistics	1	1	26

Maruti Kumar Mudunuru

Publications

627

Citations

H-Index

Page 1

	Year	Citations
Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks Alexander Y. Sun, Peishi Jiang, Maruti Kumar Mudunuru, Water Resources Research Hydrological PredictionGraph Representation LearningMachine LearningEngineeringSpatio‐temporal Learning	2021	110
Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications Abigail Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Computational Materials Science Numerical AnalysisReduced Order ModelingEngineeringMachine LearningBrittle Fracture Applications	2018	47
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs Shriram Srinivasan, Daniel O’Malley, Maruti Kumar Mudunuru, Scientific Reports	2021	47
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Journal of Computational Physics Artificial IntelligenceSource SeparationEngineeringMachine LearningMatrix Factorization	2019	42
A numerical framework for diffusion-controlled bimolecular-reactive systems to enforce maximum principles and the non-negative constraint K. B. Nakshatrala, Maruti Kumar Mudunuru, Albert J. Valocchi Journal of Computational Physics Non-negative ConstraintDiffusion-controlled Bimolecular-reactive SystemsPhysicsNatural SciencesNumerical Framework	2013	31
On enforcing maximum principles and achieving element-wise species balance for advection–diffusion–reaction equations under the finite element method Maruti Kumar Mudunuru, K. B. Nakshatrala Journal of Computational Physics Numerical AnalysisFinite Element MethodEngineeringNumerical SimulationAdvection–diffusion–reaction Equations	2015	29
Machine learning to identify geologic factors associated with production in geothermal fields: a case-study using 3D geologic data, Brady geothermal field, Nevada Drew L. Siler, Jeff D. Pepin, Velimir V. Vesselinov, Geothermal Energy	2021	28
Using Mutual Information for Global Sensitivity Analysis on Watershed Modeling Peishi Jiang, Kyongho Son, Maruti Kumar Mudunuru, Water Resources Research Environmental MonitoringEngineeringHydrologic EngineeringEfficient Gsa MethodData Science	2022	26
Frost prediction using machine learning and deep neural network models Carl Talsma, Kurt Solander, Maruti Kumar Mudunuru, Frontiers in Artificial Intelligence Precision AgricultureEngineeringMachine LearningWeather ForecastingClimate Modeling	2023	25
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado Peishi Jiang, Pin Shuai, Alexander Y. Sun, Hydrology and earth system sciences Coal Creek WatershedHydrological ScienceEngineeringMachine LearningWater Resources	2023	23

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