Matthew R. Sweeney

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Variable Resolution

Top Venues

J. Comput. Phys.

J. Comput. Appl. Math.

Comput. Geosci.

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)
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)