A taxonomy of grain boundary migration mechanisms via displacement texture characterization
Ian Chesser, Brandon Runnels, Elizabeth Holm

TL;DR
This paper introduces a novel displacement texture framework to analyze atomic rearrangement mechanisms during grain boundary migration, revealing geometry-dependent shuffling patterns and a taxonomy of complex migration behaviors in FCC Ni bicrystals.
Contribution
It presents a new analytical framework combining slip vector analysis, bicrystallography, and optimal transportation to classify GB migration mechanisms from atomistic data.
Findings
Displacement texture analysis explains boundary plane dependence of shuffling patterns.
Taxonomy of multimodal GB migration mechanisms including multiple shuffling and shear events.
Framework applied to FCC Ni bicrystals reveals diverse migration behaviors.
Abstract
Atomistic simulations provide the most detailed picture of grain boundary (GB) migration currently available. Nevertheless, extracting unit mechanisms from atomistic simulation data is difficult because of the zoo of competing, geometrically complex 3D atomic rearrangement processes. In this work, we introduce the displacement texture characterization framework for analyzing atomic rearrangement events during GB migration, combining ideas from slip vector analysis, bicrystallography and optimal transportation. Two types of decompositions of displacement data are described: the shear-shuffle and min-shuffle decomposition. The former is used to extract shuffling patterns from shear coupled migration trajectories and the latter is used to analyze temperature dependent shuffling mechanisms. As an application of the displacement texture framework, we characterize the GB geometry dependence…
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