* In every notebook for the preprint cases: a top-level description of the test with a schematic image (existing), link DOI of the publication where you found the test case
* In README.md, repeat the short description of each individual study, and link the notebooks.
* In README.md, Dependencies section: which version was used, which compiler?
* Remove cd testcase and move each script to the test case folder.
* Remove with git rm .database files
* Use PDF export instead of PNG for the pre-print, use rcParams to set the fontsize to 8pt (LaTex \footnotesize, double-check this!)
```
from matplotlib import rcParams
rcParams["text.usetex"] = true
rcParams["text.usetex"] = 8
```
something like this at the top cell in each notebook.
* Droplet spreading image: re-run the simulations and improve the quality of the image. If you use Argo: we can use the volume fractions and the reconstruction to compare what is going on!
* We don't yet have visualization of the interface for cases that go wrong - alpha=0.5 iso-contour animation and VTK data (File, Save Data in ParaView).
**Next steps**
* Check initial and boundary conditions: B01 Meeting at CSI with Hassan, Tomislav, Mathis
* Increasing impact: interFoam citing Desphande, adjusting parameter studies, and adding interFoam results - during review.
* Create a Singularity Image with interFlow and test it on Lichtenberg (?)
**Optional**
* At some point write python modules and reduce duplication in the notebooks (after K71 is submitted).
# 2022-06-05
# 2022-06-05
- [ ] Check the error norms for the curvature error in the thesis of of Johannes Kromer
- [ ] Check the error norms for the curvature error in the thesis of of Johannes Kromer
