Matthew R. Sweeney

According to our database, Matthew R. Sweeney authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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