Jeffrey D. Hyman

23 papers Misc 1Journal 20Unranked 2
YearRankTypeTitle / 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
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
pySimFrac: A Python library for synthetic fracture generation and analysis.
Comput. Geosci.
Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman
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
2022 J jnl
Flow and transport in three-dimensional discrete fracture matrix models using mimetic finite difference on a conforming multi-dimensional mesh.
J. Comput. Phys.
Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatsky, Konstantin Lipnikov, J. David Moulton
2022 J jnl
Variable resolution Poisson-disk sampling for meshing discrete fracture networks.
J. Comput. Appl. Math.
Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo
2021 J jnl
Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh.
CoRR
Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatskiy, Konstantin Lipnikov, J. David Moulton
2021 J jnl
Maximal Poisson-disk Sampling for Variable Resolution Conforming Delaunay Mesh Generation: Applications for Three-Dimensional Discrete Fracture Networks and the Surrounding Volume.
CoRR
Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo
2021 J jnl
Variable resolution Poisson-disk sampling for meshing discrete fracture networks.
CoRR
Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable
2020 J jnl
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.
SIAM/ASA J. Uncertain. Quantification
Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
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 — 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
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations.
CoRR
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan
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
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 Misc conf
Efficient and robust classification of seismic data using nonlinear support vector machines.
ACSSC
Kyle S. Hickmann, Jeffrey D. Hyman, 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
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
2014 J jnl
Conforming Delaunay Triangulation of Stochastically Generated Three Dimensional Discrete Fracture Networks: A Feature Rejection Algorithm for Meshing Strategy.
SIAM J. Sci. Comput.
Jeffrey D. Hyman, Carl W. Gable, Scott L. Painter, Nataliia Makedonska
2014 J jnl
Stochastic generation of explicit pore structures by thresholding Gaussian random fields.
J. Comput. Phys.
Jeffrey D. Hyman, C. Larrabee Winter