Population Annealing Simulations of a Binary Hard Sphere Mixture
arXiv:1701.00263 · doi:10.1103/PhysRevE.95.063315
Abstract
Population annealing is a sequential Monte Carlo scheme well-suited to simulating equilibrium states of systems with rough free energy landscapes. Here we use population annealing to study a binary mixture of hard spheres. Population annealing is a parallel version of simulated annealing with an extra resampling step that ensures that a population of replicas of the system represents the equilibrium ensemble at every packing fraction in an annealing schedule. The algorithm and its equilibration properties are described and results are presented for a glass-forming fluid composed of a 50/50 mixture of hard spheres with diameter ratio of 1.4:1. For this system, we obtain precise results for the equation of state in the glassy regime up to packing fractions and study deviations from the BMCSL equation of state. For higher packing fractions, the algorithm falls out of equilibrium and a free volume fit predicts jamming at packing fraction . We conclude that population annealing is an effective tool for studying equilibrium glassy fluids and the jamming transition.
13 pages, 10 figures
References in corpus (6)
- Probing the equilibrium dynamics of colloidal hard spheres above the mode-coupling glass transition
- The glass transition of dense fluids of hard and compressible spheres
- Comparing Monte Carlo methods for finding ground states of Ising spin glasses: population annealing, simulated annealing and parallel tempering
- Evidence of non-mean-field-like low-temperature behavior in the Edwards-Anderson spin-glass model
- Equilibrium equation of state of a hard sphere binary mixture at very large densities using replica exchange Monte-Carlo simulations
- Evidence against a mean field description of short-range spin glasses revealed through thermal boundary conditions
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