Hari S. Viswanathan

42 papers A 1Journal 37Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Foundation Model for Material Fracture Prediction. CoRR 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, Nathan DeBardeleben, Earl Lawrence, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2025	J	`jnl`	Covariate-Informed Bifidelity Bias Correction of Distributional Output. SIAM/ASA J. Uncertain. Quantification Justin D. Strait, Kelly R. Moran, Alexander C. Murph, Jeffrey D. Hyman, Hari S. Viswanathan, Philip Stauffer
2025	A	`conf`	PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval Using Model Uncertainty. WACV Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2024	J	`jnl`	Bayesian learning of gas transport in three-dimensional fracture networks. Comput. Geosci. Yingqi Shi, Donald J. Berry, John Kath, Shams Lodhy, An Ly, Allon G. Percus, Jeffrey D. Hyman, Kelly R. Moran, Justin D. Strait, Matthew R. Sweeney, Hari S. Viswanathan, Philip Stauffer
2024	J	`jnl`	Deep Learning-Based quantifications of methane emissions with field applications. Int. J. Appl. Earth Obs. Geoinformation Ismot Jahan, Mohammed Mehana, Georgios Matheou, Hari S. Viswanathan
2024	J	`jnl`	Information Extraction from Historical Well Records Using A Large Language Model. CoRR Zhiwei Ma, Javier E. Santos, Greg Lackey, Hari S. Viswanathan, Daniel O'Malley
2024	J	`jnl`	Journey over destination: dynamic sensor placement enhances generalization. Mach. Learn. Sci. Technol. Agnese Marcato, Eric Guiltinan, Hari S. Viswanathan, Daniel O'Malley, Nicholas Lubbers, Javier E. Santos
2024	J	`jnl`	Learning a general model of single phase flow in complex 3D porous media. Mach. Learn. Sci. Technol. Javier E. Santos, Agnese Marcato, Qinjun Kang, Mohamed Mehana, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers
2024	J	`jnl`	Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty. CoRR Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2023	J	`jnl`	Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. Javier E. Santos, Zachary R. Fox, Arvind T. Mohan, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers
2023	J	`jnl`	Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution. CoRR Aleksandra A. Pachalieva, Matthew R. Sweeney, Hari S. Viswanathan, Emily Stein, Rosie Leone, Jeffrey D. Hyman
2023	J	`jnl`	Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan
2023	J	`jnl`	Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
2023	J	`jnl`	Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization. CoRR Agnese Marcato, Daniel O'Malley, Hari S. Viswanathan, Eric Guiltinan, Javier E. Santos
2023	J	`jnl`	The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. CoRR 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, James Gunning, Hadi Hajibeygi, Samuel J. Jackson, Mohamad Jammoul, Satish Karra, Jiawei Li, Stephan K. Matthäi, Terry Miller, Qi Shao, Catherine Spurin, Philip Stauffer, Hamdi A. Tchelepi, Xiaoming Tian, Hari S. Viswanathan, Denis V. Voskov, Yuhang Wang, Michiel Wapperom, Mary F. Wheeler, Andrew Wilkins, AbdAllah A. Youssef, Ziliang Zhang
2022	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2022	J	`jnl`	GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 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
2022	J	`jnl`	Machine Learning in Heterogeneous Porous Materials. CoRR 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, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki
2022	J	`jnl`	Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management. CoRR Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, Hari S. Viswanathan
2022	J	`jnl`	Predictive Scale-Bridging Simulations through Active Learning. CoRR 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, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
2022	J	`jnl`	Quantum Algorithms for Geologic Fracture Networks. CoRR Jessie M. Henderson, Marianna Podzorova, M. Cerezo, John K. Golden, Leonard Gleyzer, Hari S. Viswanathan, Daniel O'Malley
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021	J	`jnl`	A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media. J. Comput. Phys. Kun Wang, Yu Chen, Mohammed Mehana, Nicholas Lubbers, Kane C. Bennett, Qinjun Kang, Hari S. Viswanathan, Timothy C. Germann
2021	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2021	—	`conf`	Interrogating the performance of quantum annealing for the solution of steady-state subsurface flow. HPEC Jessie M. Henderson, Daniel O'Malley, Hari S. Viswanathan
2021	J	`jnl`	Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers
2020	J	`jnl`	A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Comput. Sci. Eng. Garrett Aldrich, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth, Heike Leitte, James P. Ahrens, Bernd Hamann
2020	J	`jnl`	Modeling nanoconfinement effects using active learning. CoRR Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan
2020	—	`conf`	Physics-Informed Machine Learning for Real-time Reservoir Management. AAAI Spring Symposium: MLPS 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, Hongwu Xu, Rajesh J. Pawar, Tim Carr, Liwei Li, George D. Guthrie, Hari S. Viswanathan
2019	J	`jnl`	PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. CoRR B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Hari S. Viswanathan, John A. Dunbar
2018	J	`jnl`	Estimating Failure in Brittle Materials using Graph Theory. CoRR Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan
2018	J	`jnl`	Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach. Multiscale Model. Simul. Jeffrey D. Hyman, Aric A. Hagberg, Dave Osthus, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan
2018	J	`jnl`	Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks. CoRR 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
2018	J	`jnl`	Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR 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
2017	J	`jnl`	Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph. IEEE Trans. Vis. Comput. Graph. Garrett Aldrich, Jeffrey D. Hyman, Satish Karra, Carl W. Gable, Nataliia Makedonska, Hari S. Viswanathan, Jonathan Woodring, Bernd Hamann
2017	—	`conf`	Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. ICDM Workshops Robyn L. Miller, Bryan A. Moore, Hari S. Viswanathan, Gowri Srinivasan
2017	—	`conf`	Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan
2017	J	`jnl`	Machine learning for graph-based representations of three-dimensional discrete fracture networks. CoRR Manuel Valera, Zhengyang Guo, Priscilla Kelly, Sean Matz, Adrian Cantu, Allon G. Percus, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan
2016	J	`jnl`	Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. CoRR Maruti Kumar Mudunuru, Satish Karra, D. R. Harp, G. D. Guthrie, Hari S. Viswanathan
2015	J	`jnl`	dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. Comput. Geosci. Jeffrey D. Hyman, Satish Karra, Nataliia Makedonska, Carl W. Gable, Scott L. Painter, Hari S. Viswanathan
2010	J	`jnl`	Random walk particle tracking simulations of non-Fickian transport in heterogeneous media. J. Comput. Phys. Gowri Srinivasan, Daniel M. Tartakovsky, Marco Dentz, Hari S. Viswanathan, Brian Berkowitz, B. A. Robinson