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ORCIDGowri Srinivasan
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2020 – today
- 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
- [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) - [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 - [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)
2010 – 2019
- 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
- [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) - [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
- [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 - [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) - 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)
Coauthor Index
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