| From fluid flow to coupled processes in fractured rock: Recent advances and new frontiers HS Viswanathan, J Ajo‐Franklin, JT Birkholzer, JW Carey, Y Guglielmi, ... Reviews of Geophysics 60 (1), e2021RG000744, 2022 | 147 | 2022 |
| Predictive modeling of dynamic fracture growth in brittle materials with machine learning BA Moore, E Rougier, D O’Malley, G Srinivasan, A Hunter, H Viswanathan Computational Materials Science 148, 46-53, 2018 | 94 | 2018 |
| Branching of hydraulic cracks enabling permeability of gas or oil shale with closed natural fractures S Rahimi-Aghdam, VT Chau, H Lee, H Nguyen, W Li, S Karra, E Rougier, ... Proceedings of the National Academy of Sciences 116 (5), 1532-1537, 2019 | 91 | 2019 |
| Modeling flow and transport in fracture networks using graphs S Karra, D O'Malley, JD Hyman, HS Viswanathan, G Srinivasan Physical Review E 97 (3), 033304, 2018 | 89 | 2018 |
| Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks M Schwarzer, B Rogan, Y Ruan, Z Song, DY Lee, AG Percus, VT Chau, ... Computational Materials Science 162, 322-332, 2019 | 86 | 2019 |
| Machine learning for graph-based representations of three-dimensional discrete fracture networks M Valera, Z Guo, P Kelly, S Matz, VA Cantu, AG Percus, JD Hyman, ... Computational Geosciences 22, 695-710, 2018 | 81 | 2018 |
| Predictions of first passage times in sparse discrete fracture networks using graph-based reductions JD Hyman, A Hagberg, G Srinivasan, J Mohd-Yusof, H Viswanathan Physical Review E 96 (1), 013304, 2017 | 79 | 2017 |
| StressNet-Deep learning to predict stress with fracture propagation in brittle materials Y Wang, D Oyen, W Guo, A Mehta, CB Scott, N Panda, ... Npj Materials Degradation 5 (1), 6, 2021 | 63 | 2021 |
| Quantifying topological uncertainty in fractured systems using graph theory and machine learning G Srinivasan, JD Hyman, DA Osthus, BA Moore, D O’Malley, S Karra, ... Scientific reports 8 (1), 11665, 2018 | 60 | 2018 |
| Approximate models for the ion-kinetic regime in inertial-confinement-fusion capsule implosions NM Hoffman, GB Zimmerman, K Molvig, HG Rinderknecht, MJ Rosenberg, ... Physics of Plasmas 22 (5), 2015 | 60 | 2015 |
| Random walk particle tracking simulations of non-Fickian transport in heterogeneous media G Srinivasan, DM Tartakovsky, M Dentz, H Viswanathan, B Berkowitz, ... Journal of Computational Physics 229 (11), 4304-4314, 2010 | 58 | 2010 |
| Identifying backbones in three-dimensional discrete fracture networks: A bipartite graph-based approach JD Hyman, A Hagberg, D Osthus, S Srinivasan, H Viswanathan, ... Multiscale Modeling & Simulation 16 (4), 1948-1968, 2018 | 56 | 2018 |
| Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications A Hunter, BA Moore, M Mudunuru, V Chau, R Tchoua, C Nyshadham, ... Computational Materials Science 157, 87-98, 2019 | 53 | 2019 |
| Advancing graph‐based algorithms for predicting flow and transport in fractured rock HS Viswanathan, JD Hyman, S Karra, D O'Malley, S Srinivasan, ... Water Resources Research 54 (9), 6085-6099, 2018 | 53 | 2018 |
| Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways S Srinivasan, S Karra, J Hyman, H Viswanathan, G Srinivasan Computational Geosciences 23, 617-629, 2019 | 46 | 2019 |
| The combined plastic and discrete fracture deformation framework for finite‐discrete element methods E Rougier, A Munjiza, Z Lei, VT Chau, EE Knight, A Hunter, G Srinivasan International journal for numerical methods in engineering 121 (5), 1020-1035, 2020 | 45 | 2020 |
| Characterizing the impact of particle behavior at fracture intersections in three-dimensional discrete fracture networks T Sherman, JD Hyman, D Bolster, N Makedonska, G Srinivasan Physical Review E 99 (1), 013110, 2019 | 42 | 2019 |
| Efficient Monte Carlo with graph‐based subsurface flow and transport models D O'Malley, S Karra, JD Hyman, HS Viswanathan, G Srinivasan Water Resources Research 54 (5), 3758-3766, 2018 | 42 | 2018 |
| Quantification of uncertainty in geochemical reactions G Srinivasan, DM Tartakovsky, BA Robinson, AB Aceves Water resources research 43 (12), 2007 | 42 | 2007 |
| Calibrating the stress-time curve of a combined finite-discrete element method to a Split Hopkinson Pressure Bar experiment D Osthus, HC Godinez, E Rougier, G Srinivasan International Journal of Rock Mechanics and Mining Sciences 106, 278-288, 2018 | 38 | 2018 |
Hari ViswanathanSenior Scientist, Los Alamos National Laboratorylanl.gov의 이메일 확인됨