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Phys. Rev. Lett. 103, 188302 (2009) [4 pages]

Efficient Method for Predicting Crystal Structures at Finite Temperature: Variable Box Shape Simulations

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Laura Filion, Matthieu Marechal, Bas van Oorschot, Daniël Pelt, Frank Smallenburg, and Marjolein Dijkstra
Soft Condensed Matter, Debye Institute for NanoMaterials Science, Utrecht University, Princetonplein 5, The Netherlands

See Also: Publisher's Note

Received 27 July 2009; published 29 October 2009; publisher error corrected 30 October 2009

See accompanying Physics Synopsis

We present an efficient and robust method based on Monte Carlo simulations for predicting crystal structures at finite temperature. We apply this method, which is surprisingly easy to implement, to a variety of systems, demonstrating its effectiveness for hard, attractive, and anisotropic interactions, binary mixtures, semi-long-range soft interactions, and truly long-range interactions where the truly long-range interactions are treated using Ewald sums. In the case of binary hard-sphere mixtures, star polymers, and binary Lennard-Jones mixtures, the crystal structures predicted by this algorithm are consistent with literature, providing confidence in the method. Finally, we predict new crystal structures for hard asymmetric dumbbell particles, bowl-like particles and hard oblate cylinders and present the phase diagram for the oblate cylinders based on full free energy calculations.

© 2009 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevLett.103.188302
DOI:
10.1103/PhysRevLett.103.188302
PACS:
82.70.Dd, 61.50.Ah, 02.70.−c, 61.46.Hk

See Also

Publisher's Note: Laura Filion, Matthieu Marechal, Bas van Oorschot, Daniël Pelt, Frank Smallenburg, and Marjolein Dijkstra, Publisher’s Note: Efficient Method for Predicting Crystal Structures at Finite Temperature: Variable Box Shape Simulations [Phys. Rev. Lett. 103, 188302 (2009)], Phys. Rev. Lett. 103, 199904 (2009).