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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

TauFactor: An open-source application for calculating tortuosity factors from tomographic data

Open access
Cooper, S.J., Bertei, A., Shearing, P.R., Kilner, J.A., Brandon, N.P.·2016·SoftwareX

Abstract

TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in diffusive transport resulting from convolutions of the flow paths through porous media. TauFactor was originally developed to improve the understanding of electrode microstructures for batteries and fuel cells; however, the tortuosity factor has been of interest to a wide range of disciplines for over a century, including geoscience, biology and optics. It is still common practice to use correlations, such as that developed by Bruggeman, to approximate the tortuosity factor, but in recent years the increasing availability of 3D imaging techniques has spurred interest in calculating this quantity more directly. This tool provides a fast and accurate computational platform applicable to the big datasets ( > 10 8 voxels) typical of modern tomography, without requiring high computational power.

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Metadata

Authors
Cooper, S. J., Bertei, A., Shearing, P. R., Kilner, J. A., & Brandon, N. P.
Venue
SoftwareX
Publisher
Elsevier BV
Published
2016
Volume
5
Pages
203-210
ISSN
2352-7110 (ISSN-L)
OpenAlex
W2538920246
Cited by
429
References
14
Type
software paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: TauFactor: An open-source application for calculating tortuosity factors from tomographic data. https://app.cochat.ai/papers/10.1016/j.softx.2016.09.002
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Cooper, S. J., Bertei, A., Shearing, P. R., Kilner, J. A., & Brandon, N. P. (2016). TauFactor: An open-source application for calculating tortuosity factors from tomographic data. SoftwareX. https://doi.org/10.1016/j.softx.2016.09.002

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