The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
On the origin and application of the Bruggeman correlation for analysing transport phenomena in electrochemical systems
Open accessAbstract
The widely used Bruggeman equations correlate tortuosity factors of porous media with their porosity. Finding diverse application from optics to bubble formation, it received considerable attention in fuel cell and battery research, recently. The ability to estimate tortuous mass transport resistance based on porosity alone is attractive, because direct access to the tortuosity factors is notoriously difficult. The correlation, however, has limitations, which are not widely appreciated owing to the limited accessibility of the original manuscript. We retrace Bruggeman's derivation, together with its initial assumptions, and comment on validity and limitations apparent from the original work to offer some guidance on its use.
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
A treatise on electricity and magnetism
(1954) · Journal of the Franklin Institute · doi:10.1016/0016-0032(54)90053-8 · Cited by 9,077
Bruggeman, D. A. G. (1935) · Annalen der Physik · doi:10.1002/andp.19354160705 · Cited by 8,645
LVI. On the influence of obstacles arranged in rectangular order upon the properties of a medium
Rayleigh, L. (1892) · The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science · doi:10.1080/14786449208620364 · Cited by 1,872
Porous‐electrode theory with battery applications
Newman, J., & Tiedemann, W. (1975) · AIChE Journal · doi:10.1002/aic.690210103 · Cited by 1,255
Tortuosity in Porous Media: A Critical Review
Ghanbarian, B., Hunt, A. G., Ewing, R. P., & Sahimi, M. (2013) · Soil Science Society of America Journal · doi:10.2136/sssaj2012.0435 · Cited by 846
Ueber die Beziehung zwischen der Fortpflanzungsgeschwindigkeit des Lichtes und der Körperdichte
Lorentz, H. A. (1880) · Annalen der Physik · doi:10.1002/andp.18802450406 · Cited by 767
Bruggeman, D. (1935) · Annals of Physics · Cited by 715
On tortuosity and the tortuosity factor in flow and diffusion through porous media
Epstein, N. (1989) · Chemical Engineering Science · doi:10.1016/0009-2509(89)85053-5 · Cited by 705
Critical review of the impact of tortuosity on diffusion
Shen, L., & Chen, Z. (2007) · Chemical Engineering Science · doi:10.1016/j.ces.2007.03.041 · Cited by 704
Mench, M. M. (2008) · Wiley eBooks · doi:10.1002/9780470209769 · Cited by 698
Cited by
TauFactor: An open-source application for calculating tortuosity factors from tomographic data
Cooper, S. J., Bertei, A., Shearing, P. R., Kilner, J. A., & Brandon, N. P. (2016) · SoftwareX · doi:10.1016/j.softx.2016.09.002 · Cited by 429
Self-citationHeterogeneous damage in Li-ion batteries: Experimental analysis and theoretical modeling
Xu, R., Yang, Y., Yin, F., Liu, P., Cloetens, P., Liu, Y., Lin, F., & Zhao, K. (2019) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2019.05.003 · Cited by 345
Liu, P., Xu, R., Liu, Y., Lin, F., & Zhao, K. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab78fa · Cited by 74
Kim, J. M., Kim, J., Kim, J., Lim, Y., Kim, Y., Alam, A., Lee, J., Ju, H., Ham, H. C., & Kim, J. Y. (2020) · Advanced Materials · doi:10.1002/adma.202002210 · Cited by 51
Herdem, M. S., Mundhwa, M., Farhad, S., & Hamdullahpur, F. (2018) · Energy & Fuels · doi:10.1021/acs.energyfuels.8b01280 · Cited by 35
Metadata
- Authors
- Tjaden, B., Cooper, S. J., Brett, D. J., Kramer, D., & Shearing, P. R.
- Venue
- Current Opinion in Chemical Engineering
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 12
- Pages
- 44-51
- ISSN
- 2211-3398 (ISSN-L)
- OpenAlex
- W2299214998
- Cited by
- 532
- References
- 28
- FWCI
- 4.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: On the origin and application of the Bruggeman correlation for analysing transport phenomena in electrochemical systems. https://app.cochat.ai/papers/10.1016/j.coche.2016.02.006
- The paper
- Tjaden, B., Cooper, S. J., Brett, D. J., Kramer, D., & Shearing, P. R. (2016). On the origin and application of the Bruggeman correlation for analysing transport phenomena in electrochemical systems. Current Opinion in Chemical Engineering. https://doi.org/10.1016/j.coche.2016.02.006
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.
