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Hari S. Viswanathan
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2020 – today
- 2024
- [i20]Zhiwei Ma, Javier E. Santos, Greg Lackey, Hari S. Viswanathan, Daniel O'Malley:
Information Extraction from Historical Well Records Using A Large Language Model. CoRR abs/2405.05438 (2024) - 2023
- [j10]Javier E. Santos
, Zachary R. Fox, Arvind Mohan, Daniel O'Malley
, Hari S. Viswanathan, Nicholas Lubbers:
Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. 5(11): 1317-1325 (2023) - [i19]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:
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. CoRR abs/2302.10986 (2023) - [i18]Aleksandra A. Pachalieva, Matthew R. Sweeney, Hari S. Viswanathan, Emily Stein, Rosie Leone, Jeffrey D. Hyman:
Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution. CoRR abs/2302.10994 (2023) - [i17]Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon:
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR abs/2310.03770 (2023) - [i16]Agnese Marcato, Daniel O'Malley, Hari S. Viswanathan, Eric Guiltinan, Javier E. Santos:
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization. CoRR abs/2312.09176 (2023) - [i15]Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan:
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR abs/2312.13451 (2023) - 2022
- [j9]Teeratorn Kadeethum
, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas
, Hongkyu Yoon:
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. 167: 105212 (2022) - [j8]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
:
GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 7(80): 4822 (2022) - [i14]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:
Machine Learning in Heterogeneous Porous Materials. CoRR abs/2202.04137 (2022) - [i13]Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, Hari S. Viswanathan:
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management. CoRR abs/2206.10718 (2022) - [i12]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:
Predictive Scale-Bridging Simulations through Active Learning. CoRR abs/2209.09811 (2022) - [i11]Jessie M. Henderson, Marianna Podzorova, M. Cerezo, John K. Golden, Leonard Gleyzer, Hari S. Viswanathan, Daniel O'Malley:
Quantum Algorithms for Geologic Fracture Networks. CoRR abs/2210.11685 (2022) - 2021
- [j7]Kun Wang, Yu Chen, Mohammed Mehana
, Nicholas Lubbers, Kane C. Bennett, Qinjun Kang, Hari S. Viswanathan, Timothy C. Germann
:
A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media. J. Comput. Phys. 443: 110526 (2021) - [j6]Teeratorn Kadeethum
, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi
, Jonghyun Lee
, Hari S. Viswanathan, Nikolaos Bouklas
:
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. 1(12): 819-829 (2021) - [c4]Jessie M. Henderson, Daniel O'Malley, Hari S. Viswanathan:
Interrogating the performance of quantum annealing for the solution of steady-state subsurface flow. HPEC 2021: 1-6 - [i10]Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers:
Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR abs/2102.07625 (2021) - [i9]Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee
, Hari S. Viswanathan, Nikolaos Bouklas:
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR abs/2105.13136 (2021) - [i8]Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon:
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR abs/2111.14984 (2021) - 2020
- [j5]Garrett Aldrich
, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth
, Heike Leitte
, James P. Ahrens
, Bernd Hamann:
A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Comput. Sci. Eng. 22(2): 64-76 (2020) - [c3]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:
Physics-Informed Machine Learning for Real-time Reservoir Management. AAAI Spring Symposium: MLPS 2020 - [i7]Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan:
Modeling nanoconfinement effects using active learning. CoRR abs/2005.02587 (2020)
2010 – 2019
- 2019
- [i6]B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Hari S. Viswanathan, John A. Dunbar:
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. CoRR abs/1909.02125 (2019) - 2018
- [j4]Jeffrey D. Hyman
, Aric A. Hagberg, Dave Osthus
, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan:
Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach. Multiscale Model. Simul. 16(4): 1948-1968 (2018) - [i5]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:
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR abs/1806.01949 (2018) - [i4]Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan:
Estimating Failure in Brittle Materials using Graph Theory. CoRR abs/1807.11537 (2018) - [i3]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:
Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks. CoRR abs/1810.06118 (2018) - 2017
- [j3]Garrett Aldrich
, Jeffrey D. Hyman, Satish Karra
, Carl W. Gable, Nataliia Makedonska, Hari S. Viswanathan, Jonathan Woodring, Bernd Hamann:
Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph. IEEE Trans. Vis. Comput. Graph. 23(8): 1896-1909 (2017) - [c2]Robyn L. Miller, Bryan A. Moore, Hari S. Viswanathan, Gowri Srinivasan:
Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. ICDM Workshops 2017: 979-982 - [c1]Hristo N. Djidjev
, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra
, Gowri Srinivasan:
Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops 2017: 1532-1539 - [i2]Manuel Valera, Zhengyang Guo, Priscilla Kelly, Sean Matz, Adrian Cantu, Allon G. Percus, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan:
Machine learning for graph-based representations of three-dimensional discrete fracture networks. CoRR abs/1705.09866 (2017) - 2016
- [i1]Maruti Kumar Mudunuru, Satish Karra, D. R. Harp, G. D. Guthrie, Hari S. Viswanathan:
Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. CoRR abs/1606.04567 (2016) - 2015
- [j2]Jeffrey D. Hyman
, Satish Karra
, Nataliia Makedonska
, Carl W. Gable
, Scott L. Painter
, Hari S. Viswanathan:
dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport. Comput. Geosci. 84: 10-19 (2015) - 2010
- [j1]Gowri Srinivasan
, Daniel M. Tartakovsky
, Marco Dentz
, Hari S. Viswanathan, Brian Berkowitz
, B. A. Robinson:
Random walk particle tracking simulations of non-Fickian transport in heterogeneous media. J. Comput. Phys. 229(11): 4304-4314 (2010)
Coauthor Index
aka: Dan O'Malley
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last updated on 2024-07-19 19:15 CEST by the dblp team
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