Flat histogram simulation of lattice polymer systems
Statistical Mechanics
2009-11-07 v1
Abstract
We demonstrate the use of a new algorithm called the Flat Histogram sampling algorithm for the simulation of lattice polymer systems. Thermodynamics properties, such as average energy or entropy and other physical quantities such as end-to-end distance or radius of gyration can be easily calculated using this method. Ground-state energy can also be determined. We also explore the accuracy and limitations of this method. Key words: Monte Carlo algorithms, flat histogram sampling, HP model, lattice polymer systems
Cite
@article{arxiv.cond-mat/0106494,
title = {Flat histogram simulation of lattice polymer systems},
author = {Lik Wee Lee and Jian-Sheng Wang},
journal= {arXiv preprint arXiv:cond-mat/0106494},
year = {2009}
}
Comments
7 RevTeX two-column pages