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Gowri Srinivasan
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Journal Articles
- 2020
- [j6]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): 64-76 (2020) - [j5]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: 109719 (2020) - [j4]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): 573-600 (2020) - 2018
- [j3]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): 1948-1968 (2018) - 2014
- [j2]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): 585-606 (2014) - 2010
- [j1]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): 4304-4314 (2010)
Conference and Workshop Papers
- 2020
- [c4]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 - 2017
- [c3]Kyle S. Hickmann, Jeffrey D. Hyman, Gowri Srinivasan:
Efficient and robust classification of seismic data using nonlinear support vector machines. ACSSC 2017: 148-155 - [c2]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: 979-982 - [c1]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: 1532-1539
Informal and Other Publications
- 2023
- [i10]Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan:
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR abs/2312.13451 (2023) - 2022
- [i9]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:
Machine Learning in Heterogeneous Porous Materials. CoRR abs/2202.04137 (2022) - 2020
- [i8]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 abs/2010.04254 (2020) - [i7]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 abs/2010.15208 (2020) - [i6]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 abs/2011.10227 (2020) - 2019
- [i5]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 abs/1902.08029 (2019) - 2018
- [i4]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:
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR abs/1806.01949 (2018) - [i3]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 abs/1807.11537 (2018) - [i2]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 abs/1810.06118 (2018) - 2017
- [i1]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 abs/1705.09866 (2017)
Coauthor Index
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