Abstract
Analysis of datasets of macroscopic grain boundary parameters is based on grouping boundaries with similar parameters. Therefore, a measure of similarity or a distance between interfaces is needed. The paper introduces a new interface distance function. The function has properties allowing for accounting for equivalences among points in the macroscopic parameter space. Moreover, it has a simple interpretation: it minimizes the sum of angles of crystallite rotations needed to transform one interface into the other.
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