Satish Karra

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 24

Top Topics

Machine Learning

Diffusion Equation

Tensor Factorization

Top Venues

J. Comput. Phys.

Comput. Geosci.

Stat. Anal. Data Min.

Publications

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
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. CoRR (2023)
Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
Predictive Scale-Bridging Simulations through Active Learning. CoRR (2022)
Satish Karra, Bulbul Ahmmed, Maruti Kumar Mudunuru
AdjointNet: Constraining machine learning models with physics-based codes. CoRR (2021)
B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov
A comparative study of machine learning models for predicting the state of reactive mixing. J. Comput. Phys. 432 (2021)
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
Physics-Informed Machine Learning for Real-time Reservoir Management. AAAI Spring Symposium: MLPS (2020)
B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov
A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing. CoRR (2020)
Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. SIAM/ASA J. Uncertain. Quantification 8 (2) (2020)
Aitor Iraola, Paolo Trinchero, Satish Karra, Jorge Molinero
Assessing dual continuum method for multicomponent reactive transport. Comput. Geosci. 130 (2019)
Maruti Kumar Mudunuru, Satish Karra
Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing. CoRR (2019)
B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Hari S. Viswanathan, J. A. Dunbar
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. CoRR (2019)
Navamita Ray, Tirtha Banerjee, Balasubramanya T. Nadiga, Satish Karra
Towards Solving the Navier-Stokes Equation on Quantum Computers. CoRR (2019)
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. CoRR (2019)
Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. J. Comput. Phys. 395 (2019)
Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing. CoRR (2018)
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
Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico. CoRR (2018)
A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, R. B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR (2018)
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 Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
Quantum Algorithm Implementations for Beginners. CoRR (2018)
Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan
Estimating Failure in Brittle Materials using Graph Theory. CoRR (2018)
Garrett Aldrich, Jeffrey D. Hyman, Satish Karra, Carl W. Gable, Nataliia Makedonska, Hari S. Viswanathan, Jonathan Woodring, Bernd Hamann
Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph. IEEE Trans. Vis. Comput. Graph. 23 (8) (2017)
Justin Chang, Satish Karra, K. B. Nakshatrala
Large-Scale Optimization-Based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies. J. Sci. Comput. 70 (1) (2017)
Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan
Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops (2017)
Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, Ting Chen
Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. Stat. Anal. Data Min. 10 (5) (2017)
Maruti Kumar Mudunuru, Satish Karra, D. R. Harp, G. D. Guthrie, Hari S. Viswanathan
Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. CoRR (2016)
Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, T. Chen
Joint geophysical and flow inversion to characterize fracture networks in subsurface systems. CoRR (2016)
Jeffrey D. Hyman, Satish Karra, Nataliia Makedonska, Carl W. Gable, Scott L. Painter, Hari S. Viswanathan
dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. Comput. Geosci. 84 (2015)
Justin Chang, Satish Karra, K. B. Nakshatrala
Large-scale Optimization-based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies. CoRR (2015)
Craig Bridges, Satish Karra, K. R. Rajagopal
On Modeling the Response of Synovial Fluid: Unsteady Flow of a Shear-Thinning, Chemically-Reacting Fluid Mixture CoRR (2010)
Satish Karra, K. R. Rajagopal
Modeling the Non-linear Viscoelastic Response of High Temperature Polyimides CoRR (2010)
Satish Karra, K. R. Rajagopal
A thermodynamic framework to develop rate-type models for fluids without instantaneous elasticity CoRR (2010)
Craig Bridges, Satish Karra, K. R. Rajagopal
On modeling the response of the synovial fluid: Unsteady flow of a shear-thinning, chemically-reacting fluid mixture. Comput. Math. Appl. 60 (8) (2010)
Satish Karra, K. R. Rajagopal
Development of three dimensional constitutive theories based on lower dimensional experimental data CoRR (2010)
Satish Karra, Vít Prusa, K. R. Rajagopal
On Maxwell fluid with relaxation time and viscosity depending on the pressure CoRR (2010)
Satish Karra
Diffusion of a fluid through a viscoelastic solid CoRR (2010)