Satish Karra

Orcid: 0000-0001-7847-6293

According to our database1, Satish Karra authored at least 29 papers between 2010 and 2023.

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Bibliography

2023
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data.
CoRR, 2023

2022
Predictive Scale-Bridging Simulations through Active Learning.
CoRR, 2022

2021
A comparative study of machine learning models for predicting the state of reactive mixing.
J. Comput. Phys., 2021

AdjointNet: Constraining machine learning models with physics-based codes.
CoRR, 2021

2020
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.
SIAM/ASA J. Uncertain. Quantification, 2020

Physics-Informed Machine Learning for Real-time Reservoir Management.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.
J. Comput. Phys., 2019

Assessing dual continuum method for multicomponent reactive transport.
Comput. Geosci., 2019

PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data.
CoRR, 2019

Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing.
CoRR, 2019

Towards Solving the Navier-Stokes Equation on Quantum Computers.
CoRR, 2019

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations.
CoRR, 2019

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

Estimating Failure in Brittle Materials using Graph Theory.
CoRR, 2018

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

Quantum Algorithm Implementations for Beginners.
CoRR, 2018

2017
Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph.
IEEE Trans. Vis. Comput. Graph., 2017

Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems.
Stat. Anal. Data Min., 2017

Large-Scale Optimization-Based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies.
J. Sci. Comput., 2017

Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016
Joint geophysical and flow inversion to characterize fracture networks in subsurface systems.
CoRR, 2016

Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems.
CoRR, 2016

2015
dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport.
Comput. Geosci., 2015

2010
Diffusion of a fluid through a viscoelastic solid
CoRR, 2010

Modeling the Non-linear Viscoelastic Response of High Temperature Polyimides
CoRR, 2010

On Maxwell fluid with relaxation time and viscosity depending on the pressure
CoRR, 2010

A thermodynamic framework to develop rate-type models for fluids without instantaneous elasticity
CoRR, 2010

Development of three dimensional constitutive theories based on lower dimensional experimental data
CoRR, 2010

On modeling the response of the synovial fluid: Unsteady flow of a shear-thinning, chemically-reacting fluid mixture.
Comput. Math. Appl., 2010


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