  Deformation microstructure heterogeneities play a pivotal role during
dislocation patterning and interface network restructuring. Thus, they affect
indirectly how an alloy recrystallizes if at all. Given this relevance, it has
become common practice to study the evolution of deformation microstructure
heterogeneities with 3D experiments and full-field crystal plasticity computer
simulations including tools such as the spectral method.
  Quantifying material point to grain or phase boundary distances, though, is a
practical challenge with spectral method crystal plasticity models because
these discretize the material volume rather than mesh explicitly the grain and
phase boundary interface network. This limitation calls for the development of
interface reconstruction algorithms which enable us to develop specific data
post-processing protocols to quantify spatial correlations between state
variable values at each material point and the points' corresponding distance
to the closest grain or phase boundary.
  This work contributes to advance such post-processing routines. Specifically,
two grain reconstruction and three distancing methods are developed to solve
above challenge. The individual strengths and limitations of these methods
surplus the efficiency of their parallel implementation is assessed with an
exemplary DAMASK large scale crystal plasticity study. We apply the new tool to
assess the evolution of subtle stress and disorientation gradients towards
grain boundaries.
