The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
OpenPNM: A Pore Network Modeling Package
Abstract
Pore network modeling is a widely used technique for simulating multiphase transport in porous materials, but there are very few software options available. This work outlines the OpenPNM package that was jointly developed by several porous media research groups to help address this gap. OpenPNM is written in Python using NumPy and SciPy for most mathematical operations, thus combining Python's ease of use with the performance necessary to perform large simulations. The package assists the user with managing and interacting with all the topological, geometrical, and thermophysical data. It also includes a suite of commonly used algorithms for simulating percolation and performing transport calculations on pore networks. Most importantly, it was designed to be highly flexible to suit any application and be easily customized to include user-specified pore-scale physics models. The framework is fast, powerful, and concise. An illustrative example is included that determines the effective diffusivity through a partially water-saturated porous material with just 29 lines of code.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Properties of Gases and Liquids
Reid, R. C., Sherwood, T. K., & Street, R. E. (1959) · Physics Today · doi:10.1063/1.3060771 · Cited by 14,143
The NumPy Array: A Structure for Efficient Numerical Computation
van der Walt, S., Colbert, S. C., & Varoquaux, G. (2011) · Computing in Science & Engineering · doi:10.1109/mcse.2011.37 · Cited by 9,381
Exploring Network Structure, Dynamics, and Function Using NetworkX
Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008) · Proceedings of the Python in Science Conference · doi:10.25080/tcwv9851 · Cited by 7,477
Python for scientific computing
Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303 · cited 1×
“OpenPNM was coded in Python, which is a powerful, easy to use, and free objectoriented programming (OOP) language that is being increasingly used for engineering calculations [35], [36].”
MethodNote on a Method of Determining the Distribution of Pore Sizes in a Porous Material
Washburn, E. W. (1921) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.7.4.115 · Cited by 1,873
Python for Scientists and Engineers
Millman, K. J., & Aivazis, M. (2011) · Computing in Science & Engineering · doi:10.1109/mcse.2011.36 · Cited by 1,294
Pore-network extraction from micro-computerized-tomography images
Dong, H., & Blunt, M. J. (2009) · Physical Review E · doi:10.1103/physreve.80.036307 · Cited by 1,282
Sahimi, M. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.1393 · Cited by 1,082
Mercury Porosimetry: A General (Practical) Overview
Giesche, H. (2006) · Particle & Particle Systems Characterization · doi:10.1002/ppsc.200601009 · Cited by 916
Modelling two-phase flow in porous media at the pore scale using the volume-of-fluid method
Raeini, A. Q., Blunt, M. J., & Bijeljic, B. (2012) · Journal of Computational Physics · doi:10.1016/j.jcp.2012.04.011 · Cited by 551
Cited by
Tailoring Carbon Nanotube Microsphere Architectures with Controlled Porosity
Zhang, Z., Sadeghi, M. A., Jervis, R., Ye, S., Gostick, J. T., Barralet, J. E., & Merle, G. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201903983 · Cited by 19
Self-citation
Metadata
- Authors
- Gostick, J., Aghighi, M., Hinebaugh, J., Tranter, T., Hoeh, M. A., Day, H., Spellacy, B., Sharqawy, M. H., Bazylak, A., Burns, A., Lehnert, W., & Putz, A.
- Venue
- Computing in Science & Engineering
- Published
- 2016-07
- Volume
- 18
- Issue
- 4
- Pages
- 60-74
- ISSN
- 1521-9615 (ISSN-L)
- OpenAlex
- W2403618360
- Cited by
- 482
- References
- 26
- FWCI
- 24.38
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: OpenPNM: A Pore Network Modeling Package. https://app.cochat.ai/papers/10.1109/mcse.2016.49
- The paper
- Gostick, J., Aghighi, M., Hinebaugh, J., Tranter, T., Hoeh, M. A., Day, H., Spellacy, B., Sharqawy, M. H., Bazylak, A., Burns, A., Lehnert, W., & Putz, A. (2016). OpenPNM: A Pore Network Modeling Package. Computing in Science & Engineering. https://doi.org/10.1109/mcse.2016.49
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
