2026-05-23T13:18:22Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/wx033rkaeuzp5ynr2026-04-14T06:42:36Zradar4kit
10.35097/wx033rkaeuzp5ynr
Almeida de Campos, Leonardo
Leonardo
Almeida de Campos
0000-0002-5991-3301
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Sheppard, Thomas L.
Thomas L.
Sheppard
0000-0002-8891-985X
Grunwaldt, Jan-Dierk
Jan-Dierk
Grunwaldt
0000-0003-3606-0956
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Pore Network Model Metrics Extraction Tool Using SNOW2 and OpenPNM from Segmented 3D Volumes
Karlsruhe Institute of Technology
2026
2026
Chemistry
pore network modeling
SNOW2
OpenPNM
X-ray tomography
porous materials
pore metrics
Open Access
Creative Commons Attribution Non Commercial 4.0 International
Almeida de Campos, Leonardo
0000-0002-5991-3301
Sheppard, Thomas L.
0000-0002-8891-985X
Grunwaldt, Jan-Dierk
0000-0003-3606-0956
This dataset contains a Python-based workflow for extracting pore network model (PNM) metrics from segmented 3D tomographic volumes.
The workflow integrates PoreSpy (SNOW2 algorithm) for pore network extraction and OpenPNM for the computation of structural and transport properties.
The tool allow the calculation of porosity, pore size Distribution, throat size, and coordination number from labeled volumetric data.
Input data must be provided as 3D labeled TIFF volumes, where labels correspond to:
0 = outside domain, 1 = solid phase, and 2 = pore phase.
This repository represents the archived version associated with the corresponding scientific work. The actively maintained version of the code is available in the linked GitHub repository.
LINK: "https://github.com/Leonardolac97/pore-network-model-metrics-extraction-tool-using-snow2-and-openpnm-from-segmented-3d-volumes.git"
The workflow is implemented in a Jupyter Notebook and uses a single input file: a 3D TIFF (segmented volume). Data can be loaded from local directories, and an output folder can be specified to generate results (e.g., plots, statistics, and HTML files).
https://publikationen.bibliothek.kit.edu/1000192032
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