Improved real-space genetic algorithm for crystal structure and polymorph prediction

N. L. Abraham and M. I. J. Probert
Phys. Rev. B 77, 134117 – Published 30 April 2008; Erratum Phys. Rev. B 94, 059904 (2016)

Abstract

Existing genetic algorithms for crystal structure and polymorph prediction can suffer from stagnation during evolution, with a consequent loss of efficiency and accuracy. An improved genetic algorithm is introduced herein which penalizes similar structures and so enhances structural diversity in the population at each generation. This is shown to improve the quality of results found for the theoretical prediction of simple model crystal structures. In particular, this method is demonstrated to find three new zero-temperature phases of the Dzugutov potential that have not been previously reported.

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  • Received 21 January 2008

DOI:https://doi.org/10.1103/PhysRevB.77.134117

©2008 American Physical Society

Erratum

Authors & Affiliations

N. L. Abraham and M. I. J. Probert

  • Department of Physics, University of York, Heslington, York YO10 5DD, United Kingdom

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Issue

Vol. 77, Iss. 13 — 1 April 2008

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