Gowri Srinivasan
Orcid: 0000-0001-5784-0295
According to our database1,
Gowri Srinivasan
authored at least 20 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
CoRR, 2023
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
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
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
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