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Gowri Srinivasan, Ph.D. - Publications

Affiliations: 
2008 University of New Mexico, Albuquerque, NM, United States 
Area:
Mathematics
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28 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Fernández-Godino MG, Panda N, O’Malley D, Larkin K, Hunter A, Haftka RT, Srinivasan G. Accelerating high-strain continuum-scale brittle fracture simulations with machine learning Computational Materials Science. 186: 109959. DOI: 10.1016/J.Commatsci.2020.109959  0.302
2020 Osthus D, Hyman JD, Karra S, Panda N, Srinivasan G. A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty Siam/Asa Journal On Uncertainty Quantification. 8: 573-600. DOI: 10.1137/19M1279265  0.32
2020 Dana S, Srinivasan S, Karra S, Makedonska N, Hyman JD, O'Malley D, Viswanathan H, Srinivasan G. Towards real-time forecasting of natural gas production by harnessing graph theory for stochastic discrete fracture networks Journal of Petroleum Science and Engineering. 107791. DOI: 10.1016/J.Petrol.2020.107791  0.337
2020 Larkin K, Rougier E, Chau V, Srinivasan G, Abdelkefi A, Hunter A. Scale bridging damage model for quasi-brittle metals informed with crack evolution statistics Journal of the Mechanics and Physics of Solids. 138: 103921. DOI: 10.1016/J.Jmps.2020.103921  0.33
2020 Panda N, Osthus D, Srinivasan G, O'Malley D, Chau V, Oyen D, Godinez H. Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling Journal of Computational Physics. 420: 109719. DOI: 10.1016/J.Jcp.2020.109719  0.333
2020 Srinivasan S, Cawi E, Hyman J, Osthus D, Hagberg A, Viswanathan H, Srinivasan G. Physics-informed machine learning for backbone identification in discrete fracture networks Computational Geosciences. 24: 1429-1444. DOI: 10.1007/S10596-020-09962-5  0.336
2019 Sherman T, Hyman JD, Bolster D, Makedonska N, Srinivasan G. Characterizing the impact of particle behavior at fracture intersections in three-dimensional discrete fracture networks. Physical Review. E. 99: 013110. PMID 30780262 DOI: 10.1103/Physreve.99.013110  0.358
2019 Mudunuru MK, Panda N, Karra S, Srinivasan G, Chau VT, Rougier E, Hunter A, Viswanathan HS. Surrogate Models for Estimating Failure in Brittle and Quasi-Brittle Materials Applied Sciences. 9: 2706. DOI: 10.3390/App9132706  0.352
2019 Schwarzer M, Rogan B, Ruan Y, Song Z, Lee DY, Percus AG, Chau VT, Moore BA, Rougier E, Viswanathan HS, Srinivasan G. Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks Computational Materials Science. 162: 322-332. DOI: 10.1016/J.Commatsci.2019.02.046  0.344
2019 Hunter A, Moore BA, Mudunuru M, Chau V, Tchoua R, Nyshadham C, Karra S, O’Malley D, Rougier E, Viswanathan H, Srinivasan G. Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications Computational Materials Science. 157: 87-98. DOI: 10.1016/J.Commatsci.2018.10.036  0.33
2019 Chau V, Rougier E, Lei Z, Knight EE, Gao K, Hunter A, Srinivasan G, Viswanathan H. Numerical analysis of flyer plate experiments in granite via the combined finite–discrete element method Computational Particle Mechanics. 1-12. DOI: 10.1007/S40571-019-00300-W  0.335
2019 Srinivasan S, Karra S, Hyman J, Viswanathan H, Srinivasan G. Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways Computational Geosciences. 23: 617-629. DOI: 10.1007/S10596-019-9811-7  0.312
2018 Srinivasan G, Hyman JD, Osthus DA, Moore BA, O'Malley D, Karra S, Rougier E, Hagberg AA, Hunter A, Viswanathan HS. Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning. Scientific Reports. 8: 11665. PMID 30076388 DOI: 10.1038/S41598-018-30117-1  0.341
2018 Karra S, O'Malley D, Hyman JD, Viswanathan HS, Srinivasan G. Modeling flow and transport in fracture networks using graphs. Physical Review. E. 97: 033304. PMID 29776097 DOI: 10.1103/Physreve.97.033304  0.359
2018 Hyman JD, Hagberg AA, Osthus D, Srinivasan S, Viswanathan HS, Srinivasan G. Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach Multiscale Modeling & Simulation. 16: 1948-1968. DOI: 10.1137/18M1180207  0.312
2018 Moore BA, Rougier E, O’Malley D, Srinivasan G, Hunter A, Viswanathan H. Predictive modeling of dynamic fracture growth in brittle materials with machine learning Computational Materials Science. 148: 46-53. DOI: 10.1016/J.Commatsci.2018.01.056  0.343
2018 Srinivasan S, Hyman J, Karra S, O’Malley D, Viswanathan H, Srinivasan G. Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics Computational Geosciences. 22: 1515-1526. DOI: 10.1007/S10596-018-9770-4  0.364
2018 Valera M, Guo Z, Kelly P, Matz S, Cantu VA, Percus AG, Hyman JD, Srinivasan G, Viswanathan HS. Machine learning for graph-based representations of three-dimensional discrete fracture networks Computational Geosciences. 22: 695-710. DOI: 10.1007/S10596-018-9720-1  0.37
2017 Hyman JD, Hagberg A, Srinivasan G, Mohd-Yusof J, Viswanathan H. Predictions of first passage times in sparse discrete fracture networks using graph-based reductions. Physical Review. E. 96: 013304. PMID 29347061 DOI: 10.1103/Physreve.96.013304  0.332
2016 Castro-Castro C, Shen Y, Srinivasan G, Aceves AB, Kevrekidis PG. Light dynamics in nonlinear trimers and twisted multicore fibers Journal of Nonlinear Optical Physics & Materials. 25: 1650042. DOI: 10.1142/S0218863516500429  0.572
2016 Shen Y, Kevrekidis PG, Srinivasan G, Aceves AB. Existence, stability and dynamics of discrete solitary waves in a binary waveguide array Journal of Physics a: Mathematical and Theoretical. 49: 295205. DOI: 10.1088/1751-8113/49/29/295205  0.585
2014 Pampell A, Aceves AB, Srinivasan G. Predicting Dynamic Trends of the Atlantic Meridional Overturning Circulation for Transient and Stochastic Forcing Effects Siam/Asa Journal On Uncertainty Quantification. 2: 585-606. DOI: 10.1137/130930819  0.562
2013 Kelkar S, Srinivasan G, Robinson BA, Roback R, Viswanathan H, Rehfeldt K, Tucci P. Breakthrough of contaminant plumes in saturated volcanic rock: Implications from the Yucca Mountain site Geofluids. 13: 273-282. DOI: 10.1111/Gfl.12035  0.316
2012 Severino G, Bartolo SD, Toraldo G, Srinivasan G, Viswanathan H. Travel time approach to kinetically sorbing solute by diverging radial flows through heterogeneous porous formations Water Resources Research. 48. DOI: 10.1029/2012Wr012608  0.328
2012 Srinivasan G, Keating E, Moulton JD, Dash ZV, Robinson BA. Convolution-based particle tracking method for transient flow Computational Geosciences. 16: 551-563. DOI: 10.1007/S10596-011-9265-Z  0.301
2010 Robinson BA, Dash ZV, Srinivasan G. A particle tracking transport method for the simulation of resident and flux-averaged concentration of solute plumes in groundwater models Computational Geosciences. 14: 779-792. DOI: 10.1007/S10596-010-9190-6  0.326
2008 Srinivasan G, Aceves A, Tartakovsky DM. Nonlinear localization of light in disordered optical fiber arrays Physical Review A. 77. DOI: 10.1103/Physreva.77.063806  0.558
2007 Srinivasan G, Tartakovsky DM, Robinson BA, Aceves AB. Quantification of uncertainty in geochemical reactions Water Resources Research. 43. DOI: 10.1029/2007Wr006003  0.579
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