A highly-efficient technique for evaluating bond-orientational order parameters - Publication - Bridge of Knowledge

Search

A highly-efficient technique for evaluating bond-orientational order parameters

Abstract

We propose a novel, highly-efficient approach for the evaluation of bond-orientational order parameters (BOPs). Our approach exploits the properties of spherical harmonics and Wigner 3jj-symbols to reduce the number of terms in the expressions for BOPs, and employs simultaneous interpolation of normalised associated Legendre polynomials and trigonometric functions to dramatically reduce the total number of arithmetic operations. Using realistic test cases, we show how the above, combined with a CPU-cache-friendly data structure, leads to a 10 to 50-fold performance increase over approaches currently in use, depending on the size of the interpolation grids and the machine used. As the proposed approach is an approximation, we demonstrate that the errors it introduces are well-behaved, controllable and essentially negligible for practical grid sizes. We benchmark our approach against other structure identification methods (centro-symmetry parameter (CSP), common neighbour analysis (CNA), common neighbourhood parameter (CNP) and Voronoi analysis), generally regarded as much faster than BOPs, and demonstrate that our formulation is able to outperform them for all studied systems.

Citations

  • 8

    CrossRef

  • 0

    Web of Science

  • 8

    Scopus

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
COMPUTER PHYSICS COMMUNICATIONS no. 198, pages 128 - 138,
ISSN: 0010-4655
Language:
English
Publication year:
2016
Bibliographic description:
Winczewski S., Dziedzic J., Rybicki J.: A highly-efficient technique for evaluating bond-orientational order parameters// COMPUTER PHYSICS COMMUNICATIONS. -Vol. 198, (2016), s.128-138
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.cpc.2015.09.009
Verified by:
Gdańsk University of Technology

seen 141 times

Recommended for you

Meta Tags