OpenPNM: A Pore Network Modeling Package. - Jeff T. Gostick; Mahmoudreza Aghighi; James Hinebaugh; Tom Tranter; Michael A. Hoeh; Harold Day; Brennan Spellacy; Mostafa H. Sharqawy; Aimy Bazylak; Alan Burns 002; Werner Lehnert; Andreas Putz (Comput. Sci. Eng., 2016)

Dual network extraction algorithm to investigate multiple transport processes in porous materials: Image-based modeling of pore and grain scale processes. - Zohaib Atiq Khan; Tom Tranter; Mehrez Agnaou; Ali Elkamel; Jeff T. Gostick (Comput. Chem. Eng., 2019)

PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images. - Jeff T. Gostick; Zohaib Atiq Khan; Thomas G. Tranter; Mathew D. R. Kok; Mehrez Agnaou; Mohamm Adamin Sadeghi; Rhodri Jervis (J. Open Source Softw., 2019)

pytrax: A simple and efficient random walk implementation for calculating the directional tortuosity of images. - Thomas G. Tranter; Mathew D. R. Kok; M. Lam; Jeff T. Gostick (SoftwareX, 2019)

Modeling transport of charged species in pore networks: Solution of the Nernst-Planck equations coupled with fluid flow and charge conservation equations. - Mehrez Agnaou; Mohammad Amin Sadeghi; Thomas G. Tranter; Jeff T. Gostick (Comput. Geosci., 2020)

Simulating volume-controlled invasion of a non-wetting fluid in volumetric images using basic image processing tools. - Jeff T. Gostick; Niloofar Misaghian; Jianhui Yang; Edo S. Boek (Comput. Geosci., 2022)

Prediction of diffusional conductance in extracted pore network models using convolutional neural networks. - Niloo Misaghian; Mehrez Agnaou; Mohammad Amin Sadeghi; Hamed Fathiannasab; Isma Hadji; Edward Roberts; Jeff T. Gostick (Comput. Geosci., 2022)