Any need for alternative grain boundary (GB) distance metrics than Morawiec 2013? 5DOF property interpolation?

I recently developed a 5DOF GB interpolation framework (DOI: [10.1016/j.commatsci.2021.110756](https://doi.org/10.1016/j.commatsci.2021.110756)) based on grain boundary octonion distances (DOI: [10.1016/j.actamat.2020.05.024](https://dx.doi.org/10.1016/j.actamat.2020.05.024)) that can compute a 50,000 x 50,000 pairwise distance matrix in ~10 minutes on 6 cores with near identical accuracy to the grain boundary octonion distance. The smooth interpolation is also very fast and accurate with enough GBs (I gave a TMS talk this past Monday in an uncertainty quantification session). I've noticed that GB distances are used in [Find GBCD (Metric-Based Approach)](http://www.dream3d.io/Filters/OrientationAnalysisFilters/FindGBCDMetricBased/) and [Find Distances to Characteristic Grain Boundaries](http://www.dream3d.io/Filters/OrientationAnalysisFilters/FindDistsToCharactGBs/), perhaps elsewhere.

I'm curious if there's a need/interest for alternative GB distance metrics in DREAM.3D or for 5DOF interpolation/visualization schemes. Also relevant is [Shen's recent GB reconstruction scheme](https://github.com/Yufeng-shen/TJ2GBE) from the Rohrer group. It seems like these two could be paired really nicely with EBSD reconstruction techniques (i.e. go straight from EBSD data to a 5DOF grain boundary energy model and visualizations within DREAM.3D), so I thought it was worth asking.