Jeffrey D. Hyman

According to our database, Jeffrey D. Hyman authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bayesian learning of gas transport in three-dimensional fracture networks.

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

Comput. Geosci., 2024

pySimFrac: A Python library for synthetic fracture generation and analysis.

Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman

Comput. Geosci., 2024

2023

Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration.

Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan

CoRR, 2023

Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution.

Aleksandra A. Pachalieva, Matthew R. Sweeney, Hari S. Viswanathan, Emily Stein, Rosie Leone, Jeffrey D. Hyman

CoRR, 2023

2022

Flow and transport in three-dimensional discrete fracture matrix models using mimetic finite difference on a conforming multi-dimensional mesh.

Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatsky, Konstantin Lipnikov, J. David Moulton

J. Comput. Phys., 2022

Variable resolution Poisson-disk sampling for meshing discrete fracture networks.

Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo

J. Comput. Appl. Math., 2022

2021

Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh.

Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable, Daniil Svyatskiy, Konstantin Lipnikov, J. David Moulton

CoRR, 2021

Maximal Poisson-disk Sampling for Variable Resolution Conforming Delaunay Mesh Generation: Applications for Three-Dimensional Discrete Fracture Networks and the Surrounding Volume.

Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo

CoRR, 2021

2020

A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.

Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan

SIAM/ASA J. Uncertain. Quantification, 2020

A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles.

Garrett Aldrich, Jonas Lukasczyk, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan, Christoph Garth, Heike Leitte, James P. Ahrens, Bernd Hamann

Comput. Sci. Eng., 2020

Physics-Informed Machine Learning for Real-time Reservoir Management.

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

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

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations.

Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric A. Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Gowri Srinivasan

CoRR, 2019

2018

Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach.

Jeffrey D. Hyman, Aric A. Hagberg, Dave Osthus, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan

Multiscale Model. Simul., 2018

2017

Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph.

Garrett Aldrich, Jeffrey D. Hyman, Satish Karra, Carl W. Gable, Nataliia Makedonska, Hari S. Viswanathan, Jonathan Woodring, Bernd Hamann

IEEE Trans. Vis. Comput. Graph., 2017

Machine learning for graph-based representations of three-dimensional discrete fracture networks.

Manuel Valera, Zhengyang Guo, Priscilla Kelly, Sean Matz, Adrian Cantu, Allon G. Percus, Jeffrey D. Hyman, Gowri Srinivasan, Hari S. Viswanathan

CoRR, 2017

Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport.

Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Efficient and robust classification of seismic data using nonlinear support vector machines.

Kyle S. Hickmann, Jeffrey D. Hyman, Gowri Srinivasan

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015

dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport.

Jeffrey D. Hyman, Satish Karra, Nataliia Makedonska, Carl W. Gable, Scott L. Painter, Hari S. Viswanathan

Comput. Geosci., 2015

2014

Conforming Delaunay Triangulation of Stochastically Generated Three Dimensional Discrete Fracture Networks: A Feature Rejection Algorithm for Meshing Strategy.

Jeffrey D. Hyman, Carl W. Gable, Scott L. Painter, Nataliia Makedonska

SIAM J. Sci. Comput., 2014

Stochastic generation of explicit pore structures by thresholding Gaussian random fields.

Jeffrey D. Hyman, C. Larrabee Winter

J. Comput. Phys., 2014