Steady-state saturated groundwater flow modeling with full tensor conductivities using finite differences. - Liangping Li; Haiyan Zhou; J. Jaime Gómez-Hernández (Comput. Geosci., 2010)

Three-dimensional hydraulic conductivity upscaling in groundwater modeling. - Haiyan Zhou; Liangping Li; J. Jaime Gómez-Hernández (Comput. Geosci., 2010)

Correction to "Steady-state saturated groundwater flow modeling with full tensor conductivities using finite differences". - Liangping Li; Haiyan Zhou; J. Jaime Gómez-Hernández (Comput. Geosci., 2013)

Parallelized ensemble Kalman filter for hydraulic conductivity characterization. - Teng Xu 003; J. Jaime Gómez-Hernández; Liangping Li; Haiyan Zhou (Comput. Geosci., 2013)

A local-global pattern matching method for subsurface stochastic inverse modeling. - Liangping Li; Sanjay Srinivasan; Haiyan Zhou; J. Jaime Gómez-Hernández (Environ. Model. Softw., 2015)

Multiple-point Geostatistics: Stochastic Modeling with Training Images by G. Mariethoz and J. Caers, December 2014. Wiley-Blackwell, United States (2014). - J. Jaime Gómez-Hernández (Comput. Geosci., 2015)

Ensemble smoother with multiple data assimilation for reverse flow routing. - Valeria Todaro; Marco D'Oria; Maria Giovanna Tanda; J. Jaime Gómez-Hernández (Comput. Geosci., 2019)

Editorial: Machine Learning for Water Resources. - Grégoire Mariéthoz; J. Jaime Gómez-Hernández (Frontiers Artif. Intell., 2021)

Ensemble random forest filter: An alternative to the ensemble Kalman filter for inverse modeling. - Vanessa A. Godoy; Gian F. Napa-García; J. Jaime Gómez-Hernández (CoRR, 2022)

genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation. - Valeria Todaro; Marco D'Oria; Maria Giovanna Tanda; J. Jaime Gómez-Hernández (Comput. Geosci., 2022)

Physics-Informed Neural Networks for solving transient unconfined groundwater flow. - Daniele Secci; Vanessa A. Godoy; J. Jaime Gómez-Hernández (Comput. Geosci., 2024)