Gowri Srinivasan

发表

Advancing Graph‐Based Algorithms for Predicting Flow and Transport in Fractured Rock

Satish Karra, Hari S. Viswanathan, Jeffrey D. Hyman, 2018, Water Resources Research.

Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways

Satish Karra, Jeffrey D. Hyman, Hari S. Viswanathan, 2019, Computational Geosciences.

Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics

Satish Karra, Shriram Srinivasan, Gowri Srinivasan, 2018, Computational Geosciences.

Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation

Hari S. Viswanathan, Gowri Srinivasan, Robyn L. Miller, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Estimating Failure in Brittle Materials using Graph Theory pdf

Satish Karra, Hari S. Viswanathan, Gowri Srinivasan, 2018, ArXiv.

Flyer Plate Continuum Simulations Informed with Machine Learning Crack Evolution

Raphael T. Haftka, Gowri Srinivasan, Diane Oyen, 2020 .

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials pdf

Gowri Srinivasan, Weihong Guo, Diane Oyen, 2020, ArXiv.

A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles

Bernd Hamann, Jeffrey D. Hyman, Hari S. Viswanathan, 2020, Computing in Science & Engineering.

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems

Gowri Srinivasan, Diane Oyen, Nishant Panda, 2020, AAAI Spring Symposium: MLPS.

Machine learning for graph-based representations of three-dimensional discrete fracture networks

Vito Adrian Cantu, Jeffrey D. Hyman, Hari S. Viswanathan, 2017, Computational Geosciences.

Machine learning techniques for fractured media

Satish Karra, Jeffrey D. Hyman, Hari S. Viswanathan, 2020 .

Random walk particle tracking simulations of non-Fickian transport in heterogeneous media

Daniel M. Tartakovsky, Hari S. Viswanathan, Gowri Srinivasan, 2010, J. Comput. Phys..

Uncertainty quantification in stochastic processes

Gowri Srinivasan, 2008 .

CHARACTERIZATION OF A SINGLE-VEHICLE ROAD DEPARTURE AVOIDANCE MANEUVER

Gowri Srinivasan, Peter G. Martin, August L. Burgett, 2003 .

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations pdf

Satish Karra, Ilya Safro, Jeffrey D. Hyman, 2019, Mathematical Geosciences.

Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling

Gowri Srinivasan, Diane Oyen, Dave Osthus, 2020, J. Comput. Phys..

Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks pdf

Hari S. Viswanathan, Gowri Srinivasan, Diana Lee, 2018, Computational Materials Science.

A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty

Satish Karra, Jeffrey D. Hyman, Gowri Srinivasan, 2020, SIAM/ASA J. Uncertain. Quantification.

Efficient and robust classification of seismic data using nonlinear support vector machines

Jeffrey D. Hyman, Gowri Srinivasan, Kyle S. Hickmann, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Surrogate Models for Estimating Failure in Brittle and Quasi-Brittle Materials

Satish Karra, Hari S. Viswanathan, Gowri Srinivasan, 2019, Applied Sciences.

Efficient and Robust Classification of Seismic Data through Dimensionality Reduction

Jeffrey D. Hyman, Gowri Srinivasan, Kyle S. Hickmann, 2016 .

Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach

Jeffrey D. Hyman, Hari S. Viswanathan, Shriram Srinivasan, 2018, Multiscale Model. Simul..

Towards real-time forecasting of natural gas production by harnessing graph theory for stochastic discrete fracture networks

Satish Karra, Jeffrey D. Hyman, Nataliia Makedonska, 2020 .

Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications pdf

Satish Karra, Hari S. Viswanathan, Gowri Srinivasan, 2018, ArXiv.

System Reduction for Fractured Media Using Machine-Learning

Hari S. Viswanathan, Jeffrey D. Hyman, Gowri Srinivasan, 2019 .

Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning

Gowri Srinivasan, Michael J. Grosskopf, John Kline, 2020, IEEE Transactions on Plasma Science.

Assessment of Discretization Uncertainty Estimators Based On Grid Refinement Studies

Christopher J. Roy, Gowri Srinivasan, Luís Eça, 2021 .

Matrix Diffusion in Fractured Media: New Insights Into Power Law Scaling of Breakthrough Curves

Satish Karra, Jeffrey D. Hyman, Nataliia Makedonska, 2019 .

Calibrating the stress-time curve of a combined finite-discrete element method to a Split Hopkinson Pressure Bar experiment

Gowri Srinivasan, Humberto C. Godinez, Esteban Rougier, 2018, International Journal of Rock Mechanics and Mining Sciences.

Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning

Satish Karra, Gowri Srinivasan, Esteban Rougier, 2018, Scientific Reports.

Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics

Gowri Srinivasan, Esteban Rougier, Abdessattar Abdelkefi, 2020 .

Extracting Hydrocarbon From Shale: An Investigation of the Factors That Influence the Decline and the Tail of the Production Curve

Satish Karra, Nataliia Makedonska, Hari S. Viswanathan, 2018 .

Physics-informed machine learning for backbone identification in discrete fracture networks

Shriram Srinivasan, Gowri Srinivasan, Dave Osthus, 2020, Computational Geosciences.

Quantification of uncertainty in geochemical reactions

Daniel M. Tartakovsky, Gowri Srinivasan, Bruce A. Robinson, 2007 .

Characterizing the impact of particle behavior at fracture intersections in three-dimensional discrete fracture networks.

Nataliia Makedonska, Gowri Srinivasan, Diogo Bolster, 2019, Physical review. E.

Numerical analysis of flyer plate experiments in granite via the combined finite–discrete element method

Hari S. Viswanathan, Gowri Srinivasan, Zhou Lei, 2019 .

Efficient Monte Carlo With Graph-Based Subsurface Flow and Transport Models

Satish Karra, Jeffrey D. Hyman, Hari S. Viswanathan, 2018 .

The combined plastic and discrete fracture deformation framework for finite‐discrete element methods

Gowri Srinivasan, Antonio Munjiza, Zhou Lei, 2019, International Journal for Numerical Methods in Engineering.

Validating nuclear data uncertainties obtained from a statistical analysis of experimental data with the “Physical Uncertainty Bounds” method

Gowri Srinivasan, Diane E. Vaughan, Morgan C. White, 2020, EPJ Nuclear Sciences & Technologies.

Lagrangian models of reactive transport in heterogeneous porous media with uncertain properties

Daniel M. Tartakovsky, Hari S. Viswanathan, Gowri Srinivasan, 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

A particle tracking transport method for the simulation of resident and flux-averaged concentration of solute plumes in groundwater models

Gowri Srinivasan, Bruce A. Robinson, Zora V. Dash, 2010 .

Branching of hydraulic cracks enabling permeability of gas or oil shale with closed natural fractures

Satish Karra, Saeed Rahimi-Aghdam, Zdeněk P. Bažant, 2019, Proceedings of the National Academy of Sciences.

Predictions of first passage times in sparse discrete fracture networks using graph-based reductions.

Gowri Srinivasan, Jamaludin Mohd-Yusof, Aric Hagberg, 2017, Physical review. E.