New descriptors of connectivity-bottleneck effects improve understanding and prediction of diffusive transport in pore geometries

Bottlenecks can drastically reduce transport through porous materials. Previous work has concentrated on constriction-bottlenecks caused by variations in pore size. Here we study connectivity-bottlenecks, which are caused by many paths in the pore network passing through the same small part of the material. We develop three new connectivity descriptors, geodesic channel-strength, pore size-channels, and the closed pore-tortuosity that capture these effects. Five sets of computer-generated pore geometries with a wide variation in characteristics were used to evaluate the effect bottlenecks have on diffusive transport. We show that low connectivity as measured by the new bottleneck descriptors, can decrease diffusive transport drastically, but that in these data sets constriction-bottlenecks had a smaller effect. We also show that path-lengths and connectivity-bottlenecks can be highly correlated and adjustments using theoretical models of diffusive transport can help separate the effects. We provide a freely available software MIST that can be used to measure connectivity-bottleneck effects. • The structure of porous materials determines properties of transport and conductivity. • Connectivity and bottlenecks can drastically impact these properties. • Previous work looks at bottlenecks caused by variations in pore size (constrictivity). • We develop methods capturing bottlenecks caused by connectivity of the pore network. • A simulation study shows how connectivity-bottlenecks and transport are correlated.

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Publication Details

Journal
Computational Materials Science
Published
2025-05-15
DOI
https://doi.org/10.1016/j.commatsci.2025.113942
Primary Topic
NMR spectroscopy and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

New descriptors of connectivity-bottleneck effects improve understanding and prediction of diffusive transport in pore geometries

Sandra Barman, Holger Rootzén, David Bolin
Computational Materials Science
NMR spectroscopy and applications
article

New descriptors of connectivity-bottleneck effects improve understanding and prediction of diffusive transport in pore geometries

Sandra Barman, Holger Rootzén, David Bolin
article en

Abstract

Bottlenecks can drastically reduce transport through porous materials. Previous work has concentrated on constriction-bottlenecks caused by variations in pore size. Here we study connectivity-bottlenecks, which are caused by many paths in the pore network passing through the same small part of the material. We develop three new connectivity descriptors, geodesic channel-strength, pore size-channels, and the closed pore-tortuosity that capture these effects. Five sets of computer-generated pore geometries with a wide variation in characteristics were used to evaluate the effect bottlenecks have on diffusive transport. We show that low connectivity as measured by the new bottleneck descriptors, can decrease diffusive transport drastically, but that in these data sets constriction-bottlenecks had a smaller effect. We also show that path-lengths and connectivity-bottlenecks can be highly correlated and adjustments using theoretical models of diffusive transport can help separate the effects. We provide a freely available software MIST that can be used to measure connectivity-bottleneck effects. • The structure of porous materials determines properties of transport and conductivity. • Connectivity and bottlenecks can drastically impact these properties. • Previous work looks at bottlenecks caused by variations in pore size (constrictivity). • We develop methods capturing bottlenecks caused by connectivity of the pore network. • A simulation study shows how connectivity-bottlenecks and transport are correlated.

Computational Materials ScienceVol. 256
RISE Research Institutes of Sweden (SE), Chalmers University of Technology (SE), King Abdullah University of Science and Technology (SA), University of Gothenburg (SE)
Stiftelsen för Strategisk Forskning, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet
Openalex Percentile: Top 95%
NMR spectroscopy and applications
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