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; et al. (AAAI Spring Symposium: MLPS, 2020)

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)

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)

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)

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)

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)

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 D. Strait; Matthew R. Sweeney; Hari S. Viswanathan; Philip Stauffer (Comput. Geosci., 2024)