Data supplement for "Bifurcations of front motion in passive and active Allen-Cahn-type equations"
F Stegemerten,  S. V. Gurevich and U. Thiele
Institute for Theoretical Physics of the  Westfälische Wilhelms-Universität Münster (WWU)
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This dataset contains the data and source files for figures 5 and 7-10 of the publication:

@Article{StGT2020c,
  Abstract                 = {The well-known cubic Allen-Cahn (AC) equation is a simple gradient dynamics (or variational) model for a nonconserved order parameter field. 
After revising main literature results for the occurrence of different types of moving fronts, we employ path continuation to determine their bifurcation diagram in dependence of the external field strength or chemical potential. 
We then employ the same methodology to systematically analyze fronts for more involved AC-type models. 
In particular, we consider a cubic-quintic variational AC model and two different nonvariational generalizations.
We determine and compare the bifurcation diagrams of front solutions in the four considered models.},
  Author                   = {Stegemerten, F and Gurevich, S. V. and Thiele, U.},
  Data                     = {?},
  DOI                      = {10.1063/5.0003271},
  Eprint                   = {https://doi.org/10.1063/5.0003271},
  Journal                  = {Chaos},
  Pages                    = {053136},
  Title                    = {Bifurcations of front motion in passive and active {A}llen-{C}ahn-type equations},
  Volume                   = {30},
  Year                     = {2020}
}

When using the data please cite the paper and the Zenodo deposit


The data and source files of Figure X are contained in the archive Fig.X.zip.
 If necessary particular README files provide info on the structure of the data files. 
Often it can be deduced from the script that produces the figure. For parameter values see the journal article.


To create the various figures we employed one of
- python version 2.7.13 (or python3 version 3.5.3, also tested with 3.7.7)
  with matplotlib 2.2.5 (also tested with version 1.5.3)
       numpy
       scipy
- gnuplot version  4.6. (also tested for version 5.2)

Gnuplot: Figs. 5, 7 and 9
Python: Figs. 8 and 10


For inquiries contact either of:
fenna.stegemerten@wwu.de
u.thiele@wwu.de