English

Efficient Monte Carlo simulation of a glass forming binary mixture

Soft Condensed Matter 2009-11-11 v1 Statistical Mechanics

Abstract

We propose and use a novel, hybrid Monte Carlo algorithm that combines configurational bias particle swaps with parallel tempering. We use this new method to simulate a standard model of a glass forming binary mixture above and below the so-called mode-coupling temperature, Tmct. We find that an ansatz that was used previously to extrapolate thermodynamic quantities to temperatures below Tmct breaks down in the vicinity of the mode-coupling temperature. Thus, previous estimates of the so-called Kauzmann temperature need to be reexamined. Also, we find that the Adam-Gibbs relations D ~ exp(-a/TSc) and tau ~ exp(b/TSc), which connect the diffusion coefficient D and the relaxation time tau with the configurational entropy Sc, are valid for all temperatures for which the configurational and vibrational contributions to the free energy decouple.

Keywords

Cite

@article{arxiv.cond-mat/0511267,
  title  = {Efficient Monte Carlo simulation of a glass forming binary mixture},
  author = {Elijah Flenner and Grzegorz Szamel},
  journal= {arXiv preprint arXiv:cond-mat/0511267},
  year   = {2009}
}
R2 v1 2026-07-22T11:25:12.142Z