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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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S. Schumann

S. Seemann

S. Wartzack

Boettinger S

S. Toro

Other publications of authors with the same name

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)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 and 2 other author(s). CoRR, (2018)Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties.T. Kadeethum, D. O'Malley, Y. Choi, H. Viswanathan, N. Bouklas, and H. Yoon. CoRR, (2021)Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph.G. Aldrich, J. Hyman, S. Karra, C. Gable, N. Makedonska, H. Viswanathan, J. Woodring, and B. Hamann. IEEE Trans. Vis. Comput. Graph., 23 (8): 1896-1909 (2017)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)dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport.J. Hyman, S. Karra, N. Makedonska, C. Gable, S. Painter, and H. Viswanathan. Computers & Geosciences, (2015)PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data.B. Ahmmed, M. Mudunuru, S. Karra, S. James, H. Viswanathan, and J. Dunbar. CoRR, (2019)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)

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Disambiguation of "Viswanathan, Hari S."

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

Please choose a person to relate this publication to

S. Schumann

S. Seemann

S. Wartzack

Boettinger S

S. Toro

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Viswanathan, Hari S."

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

Please choose a person to relate this publication to

S. Schumann

S. Seemann

S. Wartzack

Boettinger S

S. Toro

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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