A Multiscale Method Coupling Network and Continuum Models in Porous Media I: Steady-State Single Phase Flow. - Jay Chu; Björn Engquist; Masa Prodanovic; Richard Tsai 001 (Multiscale Model. Simul., 2012)

A level set method for materials with texturally equilibrated pores. - Soheil Ghanbarzadeh; Marc Andre Hesse; Masa Prodanovic (J. Comput. Phys., 2015)

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)

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. - Javier E. Santos; Ying Yin; Honggeun Jo; Wen Pan; Qinjun Kang; Hari S. Viswanathan; Masa Prodanovic; Michael J. Pyrcz; Nicholas Lubbers (CoRR, 2021)

Machine Learning in Heterogeneous Porous Materials. - Marta D'Elia; Hang Deng; Cedric G. Fraces; Krishna C. Garikipati; Lori Graham-Brady; Amanda A. Howard; George Em Karniadakis; Vahid Keshavarzzadeh; Robert M. Kirby; J. Nathan Kutz; Chunhui Li; Xing Liu; et al. (CoRR, 2022)

MudrockNet: Semantic segmentation of mudrock SEM images through deep learning. - Abhishek Bihani; Hugh Daigle; Javier E. Santos; Christopher Landry; Masa Prodanovic; Kitty Milliken (Comput. Geosci., 2022)

Predictive digital rock physics without segmentation. - Eric J. Goldfarb; Ken Ikeda; Richard A. Ketcham; Masa Prodanovic; Nicola Tisato (Comput. Geosci., 2022)

MPLBM-UT: Multiphase LBM library for permeable media analysis. - Javier E. Santos; Alex Gigliotti; Abhishek Bihani; Christopher Landry; Marc Andre Hesse; Michael J. Pyrcz; Masa Prodanovic (SoftwareX, 2022)

Mitigation of spatial nonstationarity with vision transformers. - Lei Liu; Javier E. Santos; Masa Prodanovic; Michael J. Pyrcz (Comput. Geosci., 2023)