Gowri Srinivasan

Orcid: 0000-0001-5784-0295

According to our database1, Gowri Srinivasan authored at least 20 papers between 2010 and 2023.

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Bibliography

2023
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration.
CoRR, 2023

2022
Machine Learning in Heterogeneous Porous Materials.
CoRR, 2022

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

Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling.
J. Comput. Phys., 2020

A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles.
Comput. Sci. Eng., 2020

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.
CoRR, 2020

Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design.
CoRR, 2020

Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning.
CoRR, 2020

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems.
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
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations.
CoRR, 2019

2018
Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach.
Multiscale Model. Simul., 2018

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

2017
Machine learning for graph-based representations of three-dimensional discrete fracture networks.
CoRR, 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

Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Efficient and robust classification of seismic data using nonlinear support vector machines.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2014
Predicting Dynamic Trends of the Atlantic Meridional Overturning Circulation for Transient and Stochastic Forcing Effects.
SIAM/ASA J. Uncertain. Quantification, 2014

2010
Random walk particle tracking simulations of non-Fickian transport in heterogeneous media.
J. Comput. Phys., 2010


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