On modeling the response of the synovial fluid: Unsteady flow of a shear-thinning, chemically-reacting fluid mixture. - Craig Bridges; Satish Karra; K. R. Rajagopal (Comput. Math. Appl., 2010)

Development of three dimensional constitutive theories based on lower dimensional experimental data - Satish Karra; K. R. Rajagopal (CoRR, 2010)

A thermodynamic framework to develop rate-type models for fluids without instantaneous elasticity - Satish Karra; K. R. Rajagopal (CoRR, 2010)

On Maxwell fluid with relaxation time and viscosity depending on the pressure - Satish Karra; Vít Prusa; K. R. Rajagopal (CoRR, 2010)

Modeling the Non-linear Viscoelastic Response of High Temperature Polyimides - Satish Karra; K. R. Rajagopal (CoRR, 2010)

Diffusion of a fluid through a viscoelastic solid - Satish Karra (CoRR, 2010)

dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. - Jeffrey D. Hyman; Satish Karra; Nataliia Makedonska; Carl W. Gable; Scott L. Painter; Hari S. Viswanathan (Comput. Geosci., 2015)

Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. - Maruti Kumar Mudunuru; Satish Karra; D. R. Harp; G. D. Guthrie; Hari S. Viswanathan (CoRR, 2016)

Joint geophysical and flow inversion to characterize fracture networks in subsurface systems. - Maruti Kumar Mudunuru; Satish Karra; Nataliia Makedonska; T. Chen (CoRR, 2016)

Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. - Hristo N. Djidjev; Daniel O'Malley; Hari S. Viswanathan; Jeffrey D. Hyman; Satish Karra; Gowri Srinivasan (IPDPS Workshops, 2017)

Large-Scale Optimization-Based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies. - Justin Chang 001; Satish Karra; K. B. Nakshatrala (J. Sci. Comput., 2017)

Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. - Maruti Kumar Mudunuru; Satish Karra; Nataliia Makedonska; Ting Chen (Stat. Anal. Data Min., 2017)

Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph. - Garrett Aldrich; Jeffrey D. Hyman; Satish Karra; Carl W. Gable; Nataliia Makedonska; Hari S. Viswanathan; Jonathan Woodring; Bernd Hamann (IEEE Trans. Vis. Comput. Graph., 2017)

Quantum Algorithm Implementations for Beginners. - 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; et al. (CoRR, 2018)

Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. - 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 (CoRR, 2018)

Estimating Failure in Brittle Materials using Graph Theory. - Maruti Kumar Mudunuru; Nishant Panda; Satish Karra; Gowri Srinivasan; Viet T. Chau; Esteban Rougier; A. Hunter; Hari S. Viswanathan (CoRR, 2018)

Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico. - 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 (CoRR, 2018)

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. - Hayato Ushijima-Mwesigwa; Jeffrey D. Hyman; Aric A. Hagberg; Ilya Safro; Satish Karra; Carl W. Gable; Gowri Srinivasan (CoRR, 2019)

Towards Solving the Navier-Stokes Equation on Quantum Computers. - Navamita Ray; Tirtha Banerjee; Balasubramanya T. Nadiga; Satish Karra (CoRR, 2019)

Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing. - Maruti Kumar Mudunuru; Satish Karra (CoRR, 2019)

PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. - B. Ahmmed; Maruti Kumar Mudunuru; Satish Karra; S. C. James; Hari S. Viswanathan; John A. Dunbar (CoRR, 2019)

Assessing dual continuum method for multicomponent reactive transport. - Aitor Iraola; Paolo Trinchero; Satish Karra; Jorge Molinero (Comput. Geosci., 2019)

Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. - Velimir V. Vesselinov; Maruti Kumar Mudunuru; Satish Karra; Dan O'Malley; Boian S. Alexandrov (J. Comput. Phys., 2019)

Physics-Informed Machine Learning for Real-time Reservoir Management. - 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; et al. (AAAI Spring Symposium: MLPS, 2020)

A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. - Dave Osthus; Jeffrey D. Hyman; Satish Karra; Nishant Panda; Gowri Srinivasan (SIAM/ASA J. Uncertain. Quantification, 2020)

AdjointNet: Constraining machine learning models with physics-based codes. - Satish Karra; Bulbul Ahmmed; Maruti Kumar Mudunuru (CoRR, 2021)

A comparative study of machine learning models for predicting the state of reactive mixing. - B. Ahmmed; Maruti Kumar Mudunuru; Satish Karra; S. C. James; Velimir V. Vesselinov (J. Comput. Phys., 2021)

Predictive Scale-Bridging Simulations through Active Learning. - 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; et al. (CoRR, 2022)

The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. - 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; et al. (CoRR, 2023)