This repository provides supplementary material to our paper: https://doi.org/10.1088/1361-651X/ab7f8c DAMASKPhenoPowerLaw75x75x75TestCase.zip An exemplary DAMASK simulation and corresponding output, generated from DAMASK v2.0.3. We used this to debug more productively the implementation of the post-processing tools. Furthermore we employed this simulation in the paper to identify why the graph clustering grain reconstruction method in many cases fuses neighboring grains in similar orientation. DAMASKPhenoPowerLaw256x256x256ProductionRun.zip All input to run the DAMASK simulation that we discussed in the paper. DAMASKPDTSettings256x256x256ProductionRun.zip All damaskpdt settings files to execute the individual post-processing studies of the paper. DAMASKPDTSlurmSubmissionScripts256x256x256ProductionRun.zip All SLURM scripts we used to execute the compilation of damaskpdt and post-processing on TALOS. DAMASKPDTSlurmLogs256x256x256ProductionRun.zip All logs from the SLURM job management system from the individual post-processing runs. DAMASKPDTSourceCode_USedForAnalyticalDistanceToVoronoiCellFacets.zip The source code to the tool we developed during the revision process of our paper to verify the methods via computing analytically exact distances to the facets of the Poisson-Voronoi tessellation from the DAMASK microstructure instantiation. DAMASKPDTSourceCode_Production.zip The source code we used to post-process all results from the DAMASK simulations. GitHub repository: https://github.com/mkuehbach/damaskpdt

{"references": ["http://dx.doi.org/10.1088/1361-651X/ab7f8c"]}