A single-walker approach for studying quasi-ergodic systems
Statistical Mechanics
2017-04-18 v2 Computational Physics
Abstract
The jump-walking Monte-Carlo algorithm is revisited and updated to study the equilibrium properties of systems exhibiting quasi-ergodicity. It is designed for a single processing thread as opposed to currently predominant algorithms for large parallel processing systems. The updated algorithm is tested on the Ising model and applied to the lattice-gas model for sorption in aerogel at low temperatures, when dynamics of the system is critically slowed down. It is demonstrated that the updated jump-walking simulations are able to produce equilibrium isotherms which are typically hidden by the hysteresis effect characteristic of the standard single-flip simulations.
Cite
@article{arxiv.1609.05683,
title = {A single-walker approach for studying quasi-ergodic systems},
author = {Zilvinas Rimas and Sergei Taraskin},
journal= {arXiv preprint arXiv:1609.05683},
year = {2017}
}