Modeling nanoconfinement effects using active learning. - Javier E. Santos; Mohammed Mehana; Hao Wu; Masa Prodanovic; Michael J. Pyrcz; Qinjun Kang; Nicholas Lubbers; Hari S. Viswanathan (CoRR, 2020)

A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media. - Kun Wang; Yu Chen; Mohammed Mehana; Nicholas Lubbers; Kane C. Bennett; Qinjun Kang; Hari S. Viswanathan; Timothy C. Germann (J. Comput. Phys., 2021)

Predictive Scale-Bridging Simulations through Active Learning. - Satish Karra; Mohammed Mehana; Nicholas Lubbers; Yu Chen; Abdourahmane Diaw; Javier E. Santos; Aleksandra Pachalieva; Robert S. Pavel; Jeffrey R. Haack; Michael M. McKerns; Christoph Junghans; Qinjun Kang; et al. (CoRR, 2022)

GLUE Code: A framework handling communication and interfaces between scales. - Aleksandra Pachalieva; Robert S. Pavel; Javier E. Santos; Abdourahmane Diaw; Nicholas Lubbers; Mohammed Mehana; Jeffrey R. Haack; Hari S. Viswanathan; Daniel Livescu; Timothy C. Germann; Christoph Junghans (J. Open Source Softw., 2022)

Deep Learning-Based quantifications of methane emissions with field applications. - Ismot Jahan; Mohammed Mehana; Georgios Matheou; Hari S. Viswanathan (Int. J. Appl. Earth Obs. Geoinformation, 2024)