A parameter-free, solid-angle based, nearest-neighbor algorithm

Autor: van Meel, J.A., Filion, L.C., Valeriani, C., Frenkel, D., Soft Condensed Matter and Biophysics, Sub Soft Condensed Matter, Dep Natuurkunde, Dep Scheikunde
Rok vydání: 2012
Předmět:
Zdroj: Journal of Chemical Physics, 136(23), 234107/1. American Institute of Physics
The Journal of Chemical Physics
ISSN: 0021-9606
DOI: 10.48550/arxiv.1202.5281
Popis: We propose a parameter-free algorithm for the identification of nearest neighbors. The algorithm is very easy to use and has a number of advantages over existing algorithms to identify nearest- neighbors. This solid-angle based nearest-neighbor algorithm (SANN) attributes to each possible neighbor a solid angle and determines the cutoff radius by the requirement that the sum of the solid angles is 4{\pi}. The algorithm can be used to analyze 3D images, both from experiments as well as theory, and as the algorithm has a low computational cost, it can also be used "on the fly" in simulations. In this paper, we describe the SANN algorithm, discuss its properties, and compare it to both a fixed-distance cutoff algorithm and to a Voronoi construction by analyzing its behavior in bulk phases of systems of carbon atoms, Lennard-Jones particles and hard spheres as well as in Lennard-Jones systems with liquid-crystal and liquid-vapor interfaces.
Databáze: OpenAIRE