Gowri Srinivasan

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 18

Top Topics

Support Vector Machine

Machine Learning

Convolutional Neural Networks

Robust Classification

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Multiscale Model. Simul.

Publications

Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR (2023)
Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki
Machine Learning in Heterogeneous Porous Materials. CoRR (2022)
Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. J. Comput. Phys. 420 (2020)
Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. CoRR (2020)
M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design. CoRR (2020)
Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning. CoRR (2020)
Garrett Aldrich, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth, Heike Leitte, James P. Ahrens, Bernd Hamann
A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Comput. Sci. Eng. 22 (2) (2020)
Anishi Mehta, Cory Braker Scott, Diane Oyen, Nishant Panda, Gowri Srinivasan
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems. AAAI Spring Symposium: MLPS (2020)
Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. SIAM/ASA J. Uncertain. Quantification 8 (2) (2020)
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. CoRR (2019)
Jeffrey D. Hyman, Aric A. Hagberg, Dave Osthus, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan
Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach. Multiscale Model. Simul. 16 (4) (2018)
Max Schwarzer, Bryce Rogan, Yadong Ruan, Zhengming Song, Diana Lee, Allon G. Percus, Viet T. Chau, Bryan A. Moore, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan
Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks. CoRR (2018)
A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, R. B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR (2018)
Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan
Estimating Failure in Brittle Materials using Graph Theory. CoRR (2018)
Kyle S. Hickmann, Jeffrey D. Hyman, Gowri Srinivasan
Efficient and robust classification of seismic data using nonlinear support vector machines. ACSSC (2017)
Robyn L. Miller, Bryan A. Moore, Hari S. Viswanathan, Gowri Srinivasan
Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. ICDM Workshops (2017)
Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan
Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops (2017)
Manuel Valera, Zhengyang Guo, Priscilla Kelly, Sean Matz, Adrian Cantu, Allon G. Percus, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan
Machine learning for graph-based representations of three-dimensional discrete fracture networks. CoRR (2017)
A. Pampell, A. B. Aceves, Gowri Srinivasan
Predicting Dynamic Trends of the Atlantic Meridional Overturning Circulation for Transient and Stochastic Forcing Effects. SIAM/ASA J. Uncertain. Quantification 2 (1) (2014)
Gowri Srinivasan, Daniel M. Tartakovsky, Marco Dentz, Hari S. Viswanathan, Brian Berkowitz, B. A. Robinson
Random walk particle tracking simulations of non-Fickian transport in heterogeneous media. J. Comput. Phys. 229 (11) (2010)