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Fast simulation of facilitated spin models

Douglas J Ashton, Lester O Hedges and Juan P Garrahan1

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We show how to apply the absorbing Markov chain Monte Carlo algorithm of Novotny to simulate kinetically constrained models of glasses. We consider in detail one-spin facilitated models, such as the East model and its generalizations to arbitrary dimensions. We investigate how to maximize the efficiency of the algorithms, and show that simulation times can be improved on standard continuous time Monte Carlo by several orders of magnitude. We illustrate the method with equilibrium and aging results. These include a study of relaxation times in the East model for dimensions d = 1 to 13, which provides further evidence that the hierarchical relaxation in this model is present in all dimensions. We discuss how the method can be applied to other kinetically constrained models.


Keywords

slow dynamics and ageing (theory)

dynamical heterogeneities (theory)

structural glasses (theory)

supercooled liquids (theory)

 

E-print Number: cond-mat/0510356

Cited: by |

Refers: to

PACS

75.10.Hk Classical spin models

61.43.Fs Glasses

81.40.Cd Solid solution hardening, precipitation hardening, and dispersion hardening; aging

61.43.Bn Structural modeling: serial-addition models, computer simulation

MSC

82B80 Numerical methods (Monte Carlo, series resummation, etc.) (See also 65-XX, 81T80)

82D30 Random media, disordered materials (including liquid crystals and spin glasses)

Subjects

Condensed matter: electrical, magnetic and optical

Condensed matter: structural, mechanical & thermal

Dates

Issue 12 (December 2005)

Received 25 October 2005, accepted for publication 1 December 2005

Published 19 December 2005



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