Hari S. Viswanathan
Orcid: 0000-0002-1178-9647
According to our database1,
Hari S. Viswanathan
authored at least 31 papers
between 2010 and 2023.
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Bibliography
2023
Development of the Senseiver for efficient field reconstruction from sparse observations.
Nat. Mac. Intell., October, 2023
CoRR, 2023
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization.
CoRR, 2023
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer.
CoRR, 2023
Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution.
CoRR, 2023
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data.
CoRR, 2023
2022
J. Open Source Softw., December, 2022
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties.
Comput. Geosci., 2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management.
CoRR, 2022
2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.
Nat. Comput. Sci., 2021
A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media.
J. Comput. Phys., 2021
Interrogating the performance of quantum annealing for the solution of steady-state subsurface flow.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
2020
Comput. Sci. Eng., 2020
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020
2019
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data.
CoRR, 2019
2018
Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach.
Multiscale Model. Simul., 2018
Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks.
CoRR, 2018
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications.
CoRR, 2018
2017
Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph.
IEEE Trans. Vis. Comput. Graph., 2017
Machine learning for graph-based representations of three-dimensional discrete fracture networks.
CoRR, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems.
CoRR, 2016
2015
dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport.
Comput. Geosci., 2015
2010
Random walk particle tracking simulations of non-Fickian transport in heterogeneous media.
J. Comput. Phys., 2010