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Exploration and Optimization in Crystal Structure Prediction: Combining Basin Hopping with Quasi-Random Sampling

preprint
submitted on 15.10.2020 and posted on 16.10.2020 by Shiyue Yang, Graeme Day
We describe the implementation of a Monte Carlo basin hopping global optimization procedure for the prediction of molecular crystal structure. The basin hopping method is combined with quasi-random structure generation in a hybrid method for crystal structure prediction, QR-BH, which combines the low-discrepancy sampling provided by quasi-random sequences with basin hopping's efficiency at locating low energy structures. Through tests on a set of single-component molecular crystals and co-crystals, we demonstrate that QR-BH provides faster location of low energy structures than pure quasi-random sampling, while maintaining the efficient location of higher energy structures that are important for identifying important polymorphs.

Funding

China Scholarship Council

History

Email Address of Submitting Author

G.M.Day@soton.ac.uk

Institution

University of Southampton

Country

United Kingdom

ORCID For Submitting Author

0000-0001-8396-2771

Declaration of Conflict of Interest

No conflict of interest.

Licence

Exports