Exploration and Optimization in Crystal Structure Prediction: Combining Basin Hopping with Quasi-Random Sampling
Shiyue Yang, Graeme M. Day
Abstract
We describe the implementation of a Monte Carlo basin hopping (BH) global optimization procedure for the prediction of molecular crystal structures. The BH method is combined with quasi-random (QR) structure generation in a hybrid method for crystal structure prediction, QR-BH, which combines the low-discrepancy sampling provided by QR sequences with BH 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 QR sampling, while maintaining the efficient location of higher energy structures that are important for identifying important polymorphs.
Topics & Concepts
Crystal structure predictionSampling (signal processing)Computer scienceData miningStatistical physicsData scienceCrystal structurePhysicsChemistryCrystallographyTelecommunicationsDetectorX-ray Diffraction in CrystallographyCrystallization and Solubility StudiesCrystallography and molecular interactions