uf3.data.geometryΒΆ
This module provides functions for generating supercells for machine learning while avoiding the need for minimum-image convention.
Functions
WIP implementation of data augmentation as introduced in https://doi.org/10.1038/s41524-020-0323-8 |
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Generate supercell, centered on original unit cell, with sufficient number of images along each lattice vector direction to ensure that atoms within the unit cell may interact with neighbors (in periodic images) at distances of r_cut or more. |
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Identify minimum number of replicas along each lattice vector direction to ensure that atoms within the unit cell may interact with neighbors (in periodic images) at distances of r_cut or more. |
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Sort image indices based on distance to origin. |