Gowri Srinivasan

20 papers Misc 1Journal 16Unranked 3

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