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Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications.

A. Hunter, B. Moore, M. Mudunuru, V. Chau, R. Miller, R. Tchoua, C. Nyshadham, S. Karra, D. O'Malley, E. Rougier, H. Viswanathan, and G. Srinivasan. CoRR, (2018)

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Prashanth Srinivasan University of Stuttgart

Other publications of authors with the same name

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations.H. Ushijima-Mwesigwa, J. Hyman, A. Hagberg, I. Safro, S. Karra, C. Gable, and G. Srinivasan. CoRR, (2019)Machine learning for graph-based representations of three-dimensional discrete fracture networks.M. Valera, Z. Guo, P. Kelly, S. Matz, A. Cantu, A. Percus, J. Hyman, G. Srinivasan, and H. Viswanathan. CoRR, (2017)Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach.J. Hyman, A. Hagberg, D. Osthus, S. Srinivasan, H. Viswanathan, and G. Srinivasan. Multiscale Modeling & Simulation, 16 (4): 1948-1968 (2018)Machine Learning in Heterogeneous Porous Materials.M. D'Elia, H. Deng, C. Fraces, K. Garikipati, L. Graham-Brady, A. Howard, G. Karniadakis, V. Keshavarzzadeh, R. Kirby, J. Kutz and 14 other author(s). CoRR, (2022)Predicting Dynamic Trends of the Atlantic Meridional Overturning Circulation for Transient and Stochastic Forcing Effects.A. Pampell, A. Aceves, and G. Srinivasan. SIAM/ASA J. Uncertain. Quantification, 2 (1): 585-606 (2014)Random walk particle tracking simulations of non-Fickian transport in heterogeneous media.G. Srinivasan, D. Tartakovsky, M. Dentz, H. Viswanathan, B. Berkowitz, and B. Robinson. J. Comput. Physics, 229 (11): 4304-4314 (2010)Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport.H. Djidjev, D. O'Malley, H. Viswanathan, J. Hyman, S. Karra, and G. Srinivasan. IPDPS Workshops, page 1532-1539. IEEE Computer Society, (2017)Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks.M. Schwarzer, B. Rogan, Y. Ruan, Z. Song, D. Lee, A. Percus, V. Chau, B. Moore, E. Rougier, H. Viswanathan and 1 other author(s). CoRR, (2018)StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.Y. Wang, D. Oyen, W. Guo, A. Mehta, C. Scott, N. Panda, M. Fernández-Godino, G. Srinivasan, and X. Yue. CoRR, (2020)Estimating Failure in Brittle Materials using Graph Theory.M. Mudunuru, N. Panda, S. Karra, G. Srinivasan, V. Chau, E. Rougier, A. Hunter, and H. Viswanathan. CoRR, (2018)

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Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications.

Please choose a person to relate this publication to

Prashanth Srinivasan University of Stuttgart

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PUMA

Disambiguation of "Srinivasan, Gowri"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications.

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Prashanth Srinivasan University of Stuttgart

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Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications.