Volume 50, Issue 5 pp. 1411-1420
research papers

Improved performance of crystal structure solution from powder diffraction data through parameter tuning of a simulated annealing algorithm

Elena A. Kabova

Corresponding Author

Elena A. Kabova

School of Pharmacy, Univerity of Reading, Whiteknights Campus, Reading, BerksRG6 6AD, UK

Elena A. Kabova, e-mail: [email protected]Search for more papers by this author
Jason C. Cole

Jason C. Cole

Cambridge Crystallographic Data Centre, 12 Union Road, CambridgeCB2 1EZ, UK

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Oliver Korb

Oliver Korb

Cambridge Crystallographic Data Centre, 12 Union Road, CambridgeCB2 1EZ, UK

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Manuel López-Ibáñez

Manuel López-Ibáñez

Decision and Cognitive Sciences Research Centre, Alliance Manchester Business School, Booth Street East, Manchester, LancashireM13 9SS, UK

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Adrian C. Williams

Adrian C. Williams

School of Chemistry, Food and Pharmacy, University of Reading, Whiteknights, Reading, BerkshireRG6 6AP, UK

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Kenneth Shankland

Kenneth Shankland

School of Chemistry, Food and Pharmacy, University of Reading, Whiteknights, Reading, BerkshireRG6 6AP, UK

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First published: 25 September 2017

Abstract

Significant gains in the performance of the simulated annealing algorithm in the DASH software package have been realized by using the irace automatic configuration tool to optimize the values of three key simulated annealing parameters. Specifically, the success rate in finding the global minimum in intensity χ2 space is improved by up to an order of magnitude. The general applicability of these revised simulated annealing parameters is demonstrated using the crystal structure determinations of over 100 powder diffraction datasets.

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