Random walk particle tracking simulations of non-Fickian transport in heterogeneous media. - Gowri Srinivasan; Daniel M. Tartakovsky; Marco Dentz; Hari S. Viswanathan; Brian Berkowitz; B. A. Robinson (J. Comput. Phys., 2010)

dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. - Jeffrey D. Hyman; Satish Karra; Nataliia Makedonska; Carl W. Gable; Scott L. Painter; Hari S. Viswanathan (Comput. Geosci., 2015)

Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. - Maruti Kumar Mudunuru; Satish Karra; D. R. Harp; G. D. Guthrie; Hari S. Viswanathan (CoRR, 2016)

Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. - Robyn L. Miller; Bryan A. Moore; Hari S. Viswanathan; Gowri Srinivasan (ICDM Workshops, 2017)

Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. - Hristo N. Djidjev; Daniel O'Malley; Hari S. Viswanathan; Jeffrey D. Hyman; Satish Karra; Gowri Srinivasan (IPDPS Workshops, 2017)

Machine learning for graph-based representations of three-dimensional discrete fracture networks. - Manuel Valera; Zhengyang Guo; Priscilla Kelly; Sean Matz; Adrian Cantu; Allon G. Percus; Jeffrey D. Hyman; Gowri Srinivasan; Hari S. Viswanathan (CoRR, 2017)

Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph. - Garrett Aldrich; Jeffrey D. Hyman; Satish Karra; Carl W. Gable; Nataliia Makedonska; Hari S. Viswanathan; Jonathan Woodring; Bernd Hamann (IEEE Trans. Vis. Comput. Graph., 2017)

Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. - 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 (CoRR, 2018)

Estimating Failure in Brittle Materials using Graph Theory. - Maruti Kumar Mudunuru; Nishant Panda; Satish Karra; Gowri Srinivasan; Viet T. Chau; Esteban Rougier; A. Hunter; Hari S. Viswanathan (CoRR, 2018)

Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks. - 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 (CoRR, 2018)

Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach. - Jeffrey D. Hyman; Aric A. Hagberg; Dave Osthus; Shriram Srinivasan; Hari S. Viswanathan; Gowri Srinivasan (Multiscale Model. Simul., 2018)

PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. - B. Ahmmed; Maruti Kumar Mudunuru; Satish Karra; S. C. James; Hari S. Viswanathan; John A. Dunbar (CoRR, 2019)

Physics-Informed Machine Learning for Real-time Reservoir Management. - Maruti Kumar Mudunuru; Daniel O'Malley; Shriram Srinivasan; Jeffrey D. Hyman; Matthew R. Sweeney; Luke Frash; Bill Carey; Michael R. Gross; Nathan J. Welch; Satish Karra; Velimir V. Vesselinov; Qinjun Kang; et al. (AAAI Spring Symposium: MLPS, 2020)

Modeling nanoconfinement effects using active learning. - Javier E. Santos; Mohammed Mehana; Hao Wu; Masa Prodanovic; Michael J. Pyrcz; Qinjun Kang; Nicholas Lubbers; Hari S. Viswanathan (CoRR, 2020)

A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. - Garrett Aldrich; Jonas Lukasczyk; Jeffrey D. Hyman; Gowri Srinivasan; Hari S. Viswanathan; Christoph Garth; Heike Leitte; James P. Ahrens; Bernd Hamann (Comput. Sci. Eng., 2020)

Interrogating the performance of quantum annealing for the solution of steady-state subsurface flow. - Jessie M. Henderson; Daniel O'Malley; Hari S. Viswanathan (HPEC, 2021)

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. - Javier E. Santos; Ying Yin; Honggeun Jo; Wen Pan; Qinjun Kang; Hari S. Viswanathan; Masa Prodanovic; Michael J. Pyrcz; Nicholas Lubbers (CoRR, 2021)

A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media. - Kun Wang; Yu Chen; Mohammed Mehana; Nicholas Lubbers; Kane C. Bennett; Qinjun Kang; Hari S. Viswanathan; Timothy C. Germann (J. Comput. Phys., 2021)

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. - Teeratorn Kadeethum; Daniel O'Malley; Jan Niklas Fuhg; Youngsoo Choi; Jonghyun Lee 005; Hari S. Viswanathan; Nikolaos Bouklas (Nat. Comput. Sci., 2021)

Machine Learning in Heterogeneous Porous Materials. - 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; et al. (CoRR, 2022)

Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management. - Aleksandra Pachalieva; Daniel O'Malley; Dylan Robert Harp; Hari S. Viswanathan (CoRR, 2022)

Predictive Scale-Bridging Simulations through Active Learning. - Satish Karra; Mohammed Mehana; Nicholas Lubbers; Yu Chen; Abdourahmane Diaw; Javier E. Santos; Aleksandra Pachalieva; Robert S. Pavel; Jeffrey R. Haack; Michael M. McKerns; Christoph Junghans; Qinjun Kang; et al. (CoRR, 2022)

Quantum Algorithms for Geologic Fracture Networks. - Jessie M. Henderson; Marianna Podzorova; M. Cerezo; John K. Golden; Leonard Gleyzer; Hari S. Viswanathan; Daniel O'Malley (CoRR, 2022)

Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. - Teeratorn Kadeethum; Daniel O'Malley; Youngsoo Choi; Hari S. Viswanathan; Nikolaos Bouklas; Hongkyu Yoon (Comput. Geosci., 2022)

GLUE Code: A framework handling communication and interfaces between scales. - Aleksandra Pachalieva; Robert S. Pavel; Javier E. Santos; Abdourahmane Diaw; Nicholas Lubbers; Mohammed Mehana; Jeffrey R. Haack; Hari S. Viswanathan; Daniel Livescu; Timothy C. Germann; Christoph Junghans (J. Open Source Softw., 2022)

The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. - Bernd Flemisch; Jan M. Nordbotten; Martin A. Fernø; Ruben Juanes; Holger Class; Mojdeh Delshad; Florian Doster; Jonathan Ennis-King; Jacques Franc; Sebastian Geiger; Dennis Gläser; Christopher Green; et al. (CoRR, 2023)

Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution. - Aleksandra A. Pachalieva; Matthew R. Sweeney; Hari S. Viswanathan; Emily Stein; Rosie Leone; Jeffrey D. Hyman (CoRR, 2023)

Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. - Teeratorn Kadeethum; Daniel O'Malley; Youngsoo Choi; Hari S. Viswanathan; Hongkyu Yoon (CoRR, 2023)

Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization. - Agnese Marcato; Daniel O'Malley; Hari S. Viswanathan; Eric Guiltinan; Javier E. Santos (CoRR, 2023)

Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. - Aleksandra Pachalieva; Jeffrey D. Hyman; Daniel O'Malley; Hari S. Viswanathan; Gowri Srinivasan (CoRR, 2023)

Development of the Senseiver for efficient field reconstruction from sparse observations. - Javier E. Santos; Zachary R. Fox; Arvind T. Mohan; Daniel O'Malley; Hari S. Viswanathan; Nicholas Lubbers (Nat. Mac. Intell., 2023)

Deep Learning-Based quantifications of methane emissions with field applications. - Ismot Jahan; Mohammed Mehana; Georgios Matheou; Hari S. Viswanathan (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Information Extraction from Historical Well Records Using A Large Language Model. - Zhiwei Ma; Javier E. Santos; Greg Lackey; Hari S. Viswanathan; Daniel O'Malley (CoRR, 2024)

Bayesian learning of gas transport in three-dimensional fracture networks. - Yingqi Shi; Donald J. Berry; John Kath; Shams Lodhy; An Ly; Allon G. Percus; Jeffrey D. Hyman; Kelly Moran; Justin D. Strait; Matthew R. Sweeney; Hari S. Viswanathan; Philip Stauffer (Comput. Geosci., 2024)

PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. - Roman Colman; Minh Vu; Manish Bhattarai; Martin Ma; Hari S. Viswanathan; Daniel O'Malley; Javier E. Santos (WACV, 2025)

A Foundation Model for Material Fracture Prediction. - Agnese Marcato; Aleksandra Pachalieva; Ryley G. Hill; Kai Gao; Xiaoyu Wang; Esteban Rougier; Zhou Lei; Vinamra Agrawal; Janel Chua; Qinjun Kang; Jeffrey D. Hyman; Abigail Hunter; et al. (CoRR, 2025)