This repository contains a set of tutorials for grain boundary octonion computations to accompany the papers:
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[Submitted] Chesser, I., Francis, T., De Graef, M., & Holm, E. A. (2019). Learning the grain boundary manifold: tools for grain boundary data representation and visualization. Acta Materialia.
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Francis, Toby, et al. "A geodesic octonion metric for grain boundaries." Acta Materialia 166 (2019): 135-147.
High performance octonion computations have been implemented in EMsoft
The primary dataset for paper 1 is the canonical Olmsted dataset consisting of GB crystallography data for 388 GBs in metals with cubic point group symmetry. Grain boundary energy and mobility values were computed for each structure using the Foiles-Hoyt FCC Ni EAM potential.
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Olmsted, David L., Stephen M. Foiles, and Elizabeth A. Holm. "Survey of computed grain boundary properties in face-centered cubic metals: I. Grain boundary energy." Acta Materialia 57.13 (2009): 3694-3703.
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Olmsted, David L., Elizabeth A. Holm, and Stephen M. Foiles. "Survey of computed grain boundary properties in face-centered cubic metals—II: Grain boundary mobility." Acta Materialia 57.13 (2009): 3704-3713.
The following relevant files are found in the Data directory:
olmsted_xstal_info.csv: consolidates crystallographic info, including grain orientations, CSL/DSC lattice vectors
olm_properties.txt: GB energy Ni (
olm_octonion_list.txt: octonions corresponding to GBs in Olmsted dataset with BP rotated to lie along z direction
olm_pairwise_distances_cubic.txt: pairwise distance matrix for Olmsted dataset, cubic (432) symmetry applied
Written in MATLAB and/or Python:
Example 0:
Convert traditional grain boundary representations to the grain boundary octonion (GBO) representation.
(M,n) --> octonion
(O1,O2) --> octonion
Example 1:
Compute the symmetrized GB octonion distance for a pair of grain boundaries with arbitrary point group symmetry
Example 2:
Compute a pairwise distance matrix for a grain boundary dataset