Jeffrey D. Hyman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Bayesian Learning

Bipartite Graph

Variable Resolution

Top Venues

Comput. Geosci.

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

Yingqi Shi, Donald J. Berry, John Kath, Shams Lodhy, An Ly, Allon G. Percus, Jeffrey D. Hyman, Kelly Moran, Justin Strait, Matthew R. Sweeney, Hari S. Viswanathan, Philip Stauffer
Bayesian learning of gas transport in three-dimensional fracture networks. Comput. Geosci. 192 (2024)
Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman
pySimFrac: A Python library for synthetic fracture generation and analysis. Comput. Geosci. 191 (2024)
Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR (2023)
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 (2023)
Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatsky, Konstantin Lipnikov, J. David Moulton
Flow and transport in three-dimensional discrete fracture matrix models using mimetic finite difference on a conforming multi-dimensional mesh. J. Comput. Phys. 466 (2022)
Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo
Variable resolution Poisson-disk sampling for meshing discrete fracture networks. J. Comput. Appl. Math. 407 (2022)
Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable
Variable resolution Poisson-disk sampling for meshing discrete fracture networks. CoRR (2021)
Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo
Maximal Poisson-disk Sampling for Variable Resolution Conforming Delaunay Mesh Generation: Applications for Three-Dimensional Discrete Fracture Networks and the Surrounding Volume. CoRR (2021)
Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatskiy, Konstantin Lipnikov, J. David Moulton
Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh. CoRR (2021)
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)
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) (2020)
Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. SIAM/ASA J. Uncertain. Quantification 8 (2) (2020)
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations. CoRR (2019)
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) (2018)
Kyle S. Hickmann, Jeffrey D. Hyman, Gowri Srinivasan
Efficient and robust classification of seismic data using nonlinear support vector machines. ACSSC (2017)
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) (2017)
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)
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 (2017)
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 (2015)
Jeffrey D. Hyman, Carl W. Gable, Scott L. Painter, Nataliia Makedonska
Conforming Delaunay Triangulation of Stochastically Generated Three Dimensional Discrete Fracture Networks: A Feature Rejection Algorithm for Meshing Strategy. SIAM J. Sci. Comput. 36 (4) (2014)
Jeffrey D. Hyman, C. Larrabee Winter
Stochastic generation of explicit pore structures by thresholding Gaussian random fields. J. Comput. Phys. 277 (2014)