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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Implementing amplified MRI in a computational fluid dynamics model of the cerebrospinal fluid

Authors: Vandenbulcke, Sarah;

Implementing amplified MRI in a computational fluid dynamics model of the cerebrospinal fluid

Abstract

This folder respository contains files to implement measured amplified MRI motion into a CFD model. The files should be imported in FLUENT (Ansys Inc.) in the following order: setup_case.jou: journal file containing the commands to setup the CFD model in FLUENT (Ansys Inc.). This file also compiles and loads the UDF mesh_motion_all_v2023.c. The UDF is directly based on the code provided in the Github respiratory (CoCoNuT). A define-on-demand function should then be executed to export the unique node ids from FLUENT. Run the Python file link_node_id_spline_interpolation.ipynb which returns .dat files for the different timesteps. run_motion.jou: journal file that reads the .dat files generated in step 2 and applies the mesh motion in the CFD model.

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selected citations
These citations are derived from selected sources.
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.
BIP!Impulse provided by BIP!
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