Satish Karra - RankMe

35 papers Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Pore2Chip: All-in-one python tool for soil microstructure analysis and micromodel design. J. Open Source Softw. Aramy Truong, Maruti Kumar Mudunuru, Erin C. Rooney, Arunima Bhattacharjee, Tamas Varga, Md Lal Mamud, Xiaoliang He, Anil K. Battu, Satish Karra
2023	J	`jnl`	The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. CoRR Bernd Flemisch, Jan M. Nordbotten, Martin A. Fernø, Ruben Juanes, Holger Class, Mojdeh Delshad, Florian Doster, Jonathan Ennis-King, Jacques Franc, Sebastian Geiger, Dennis Gläser, Christopher Green, James Gunning, Hadi Hajibeygi, Samuel J. Jackson, Mohamad Jammoul, Satish Karra, Jiawei Li, Stephan K. Matthäi, Terry Miller, Qi Shao, Catherine Spurin, Philip Stauffer, Hamdi A. Tchelepi, Xiaoming Tian, Hari S. Viswanathan, Denis V. Voskov, Yuhang Wang, Michiel Wapperom, Mary F. Wheeler, Andrew Wilkins, AbdAllah A. Youssef, Ziliang Zhang
2022	J	`jnl`	Predictive Scale-Bridging Simulations through Active Learning. CoRR Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael M. McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
2022	J	`jnl`	Quantum Algorithm Implementations for Beginners. ACM Trans. Quantum Comput. Abhijith Jayakumar, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Daniel O'Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu, Stephan J. Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, Andrey Y. Lokhov
2021	J	`jnl`	A comparative study of machine learning models for predicting the state of reactive mixing. J. Comput. Phys. B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov
2021	J	`jnl`	AdjointNet: Constraining machine learning models with physics-based codes. CoRR Satish Karra, Bulbul Ahmmed, Maruti Kumar Mudunuru
2020	J	`jnl`	A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing. CoRR B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov
2020	J	`jnl`	A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. SIAM/ASA J. Uncertain. Quantification Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
2020	—	`conf`	Physics-Informed Machine Learning for Real-time Reservoir Management. AAAI Spring Symposium: MLPS Maruti Kumar Mudunuru, Daniel O'Malley, Shriram Srinivasan, Jeffrey D. Hyman, Matthew R. Sweeney, Luke Frash, Bill Carey, Michael R. Gross, Nathan J. Welch, Satish Karra, Velimir V. Vesselinov, Qinjun Kang, Hongwu Xu, Rajesh J. Pawar, Tim Carr, Liwei Li, George D. Guthrie, Hari S. Viswanathan
2019	J	`jnl`	Assessing dual continuum method for multicomponent reactive transport. Comput. Geosci. Aitor Iraola, Paolo Trinchero, Satish Karra, Jorge Molinero
2019	J	`jnl`	Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. CoRR Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan
2019	J	`jnl`	PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. CoRR B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Hari S. Viswanathan, John A. Dunbar
2019	J	`jnl`	Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing. CoRR Maruti Kumar Mudunuru, Satish Karra
2019	J	`jnl`	Towards Solving the Navier-Stokes Equation on Quantum Computers. CoRR Navamita Ray, Tirtha Banerjee, Balasubramanya T. Nadiga, Satish Karra
2019	J	`jnl`	Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. J. Comput. Phys. Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
2018	J	`jnl`	Estimating Failure in Brittle Materials using Graph Theory. CoRR Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan
2018	J	`jnl`	Quantum Algorithm Implementations for Beginners. CoRR Patrick J. Coles, Stephan J. Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
2018	J	`jnl`	Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, Roselyne B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan
2018	J	`jnl`	Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing. CoRR Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
2018	J	`jnl`	Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico. CoRR B. Yuan, Y. J. Tan, Maruti Kumar Mudunuru, O. E. Marcillo, A. A. Delorey, P. M. Roberts, J. D. Webster, C. N. L. Gammans, Satish Karra, G. D. Guthrie, P. A. Johnson
2017	J	`jnl`	Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph. IEEE Trans. Vis. Comput. Graph. Garrett Aldrich, Jeffrey D. Hyman, Satish Karra, Carl W. Gable, Nataliia Makedonska, Hari S. Viswanathan, Jonathan Woodring, Bernd Hamann
2017	J	`jnl`	Large-Scale Optimization-Based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies. J. Sci. Comput. Justin Chang, Satish Karra, K. B. Nakshatrala
2017	—	`conf`	Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan
2017	J	`jnl`	Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. Stat. Anal. Data Min. Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, Ting Chen
2016	J	`jnl`	Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. CoRR Maruti Kumar Mudunuru, Satish Karra, D. R. Harp, G. D. Guthrie, Hari S. Viswanathan
2016	J	`jnl`	Joint geophysical and flow inversion to characterize fracture networks in subsurface systems. CoRR Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, T. Chen
2015	J	`jnl`	Large-scale Optimization-based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies. CoRR Justin Chang, Satish Karra, K. B. Nakshatrala
2015	J	`jnl`	dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. Comput. Geosci. Jeffrey D. Hyman, Satish Karra, Nataliia Makedonska, Carl W. Gable, Scott L. Painter, Hari S. Viswanathan
2010	J	`jnl`	A thermodynamic framework to develop rate-type models for fluids without instantaneous elasticity CoRR Satish Karra, K. R. Rajagopal
2010	J	`jnl`	Development of three dimensional constitutive theories based on lower dimensional experimental data CoRR Satish Karra, K. R. Rajagopal
2010	J	`jnl`	Diffusion of a fluid through a viscoelastic solid CoRR Satish Karra
2010	J	`jnl`	Modeling the Non-linear Viscoelastic Response of High Temperature Polyimides CoRR Satish Karra, K. R. Rajagopal
2010	J	`jnl`	On Maxwell fluid with relaxation time and viscosity depending on the pressure CoRR Satish Karra, Vít Prusa, K. R. Rajagopal
2010	J	`jnl`	On Modeling the Response of Synovial Fluid: Unsteady Flow of a Shear-Thinning, Chemically-Reacting Fluid Mixture CoRR Craig Bridges, Satish Karra, K. R. Rajagopal
2010	J	`jnl`	On modeling the response of the synovial fluid: Unsteady flow of a shear-thinning, chemically-reacting fluid mixture. Comput. Math. Appl. Craig Bridges, Satish Karra, K. R. Rajagopal