Machine learning for graph-based representations of three-dimensional discrete fracture networks M Valera, Z Guo, P Kelly, S Matz, VA Cantu, AG Percus, JD Hyman, ... Computational Geosciences 22, 695-710, 2018 | 72 | 2018 |
Machine learning based predictions of dissolved oxygen in a small coastal embayment M Valera, RK Walter, BA Bailey, JE Castillo Journal of Marine Science and Engineering 8 (12), 1007, 2020 | 29 | 2020 |
Parallel implementation of a PETSc-Based framework for the general curvilinear coastal ocean model M Valera, MP Thomas, M Garcia, JE Castillo Journal of Marine Science and Engineering 7 (6), 185, 2019 | 6 | 2019 |
Coupling GCCOM, a curvilinear ocean model rigid lid simulation with SWASH for analysis of free surface conditions J Brzenski, M Valera, JE Castillo OCEANS 2019 MTS/IEEE SEATTLE, 1-8, 2019 | 2 | 2019 |
Modeling Nearshore Internal Bores and Waves in Monterey Bay using the General Curvilinear Coastal Ocean Model (GCCOM). MA Valera, M Garcia, PF Choboter, RK Walter, J Castillo 2018 Ocean Sciences Meeting, 2018 | 1 | 2018 |
Mimetic Coastal Ocean Modeling in General Coordinates and Using Machine Learning Based Predictions MA Valera The Claremont Graduate University, 2021 | | 2021 |
COMPUTATIONAL SCIENCE & ENGINEERING M Valera, N Patel, J Castillo | | 2017 |
Machine Learning Algorithms for Graph-Based Representations of Fracture Networks A Cantu, ZM Guo, P Kelly, S Matz, M Valera, A Percus, J Hyman, ... | | |