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porous_media: python utilities for porous media analysis and visualization

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Sep 2023Publisher:Zenodo
Authors: König, Matthias;

doi: 10.5281/zenodo.8341272 , 10.5281/zenodo.8335487 , 10.5281/zenodo.8376327 , 10.5281/zenodo.8335521 , 10.5281/zenodo.10607699 , 10.5281/zenodo.10607553

porous_media: python utilities for porous media analysis and visualization

Abstract

porous_media is a collection of python utilities for porous media analysis and visualization with source code available from available from https://github.com/matthiaskoenig/porous_media Features include among othersannotation classes and helpers If you have any questions or issues please open an issue FundingMatthias König is supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054) and by the German Research Foundation (DFG) within the Research Unit Programme FOR 5151 QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection - A Systems Medicine Approach)" by grant number 436883643 and by grant number 465194077 (Priority Programme SPP 2311, Subproject SimLivA).

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Keywords

standardization, theory of porous media, modeling, TPM

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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