Structure identification methods for atomistic simulations of crystalline materials
ASAlexander Stukowski
Lawrence Livermore National Laboratory
Indexed inarxivcrossref
Abstract
Here, we discuss existing and new computational analysis techniques to classify local atomic arrangements in large-scale atomistic computer simulations of crystalline solids. This article includes a performance comparison of typical analysis algorithms such as common neighbor analysis (CNA), centrosymmetry analysis, bond angle analysis, bond order analysis and Voronoi analysis. In addition we propose a simple extension to the CNA method that makes it suitable for multi-phase systems. Finally, we introduce a new structure identification algorithm, the neighbor distance analysis, which is designed to identify atomic structure units in grain boundaries.
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Authors
1- ASAlexander StukowskiCorresponding
Lawrence Livermore National Laboratory
Topics & keywords
Topics
Keywords
- Voronoi diagram
- Simple (philosophy)
- k-nearest neighbors algorithm
- Extension (predicate logic)
- Identification (biology)
- Order (exchange)
- Molecular dynamics
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