Physics – Condensed Matter – Soft Condensed Matter
Scientific paper
2009-10-29
J. Phys.: Condens. Matter 22 104123 (2010)
Physics
Condensed Matter
Soft Condensed Matter
To appear in Journal of Physics: Condensed Matter
Scientific paper
10.1088/0953-8984/22/10/104123
Computer simulations of first-order phase transitions using standard toroidal boundary conditions are generally hampered by exponential slowing down. This is partly due to interface formation, and partly due to shape transitions. The latter occur when droplets become large such that they self-interact through the periodic boundaries. On a spherical simulation topology, however, shape transitions are absent. By using an appropriate bias function, we expect that exponential slowing down can be largely eliminated. In this work, these ideas are applied to the two-dimensional Widom-Rowlinson mixture confined to the surface of a sphere. Indeed, on the sphere, we find that the number of Monte Carlo steps needed to sample a first-order phase transition does not increase exponentially with system size, but rather as a power law $\tau \propto V^\alpha$, with $\alpha \approx 2.5$, and $V$ the system area. This is remarkably close to a random walk for which $\alpha$ equals 2. The benefit of this improved scaling behavior for biased sampling methods, such as the Wang-Landau algorithm, is investigated in detail.
Fischer Theodore
Vink Richard L. C.
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