Name
Abstract | ||
|---|---|---|
We propose a simple algorithm able to identify a set of temperatures for a Parallel Tempering Monte Carlo simulation, that maximizes the probability that the configurations drift across all temperature values, from the coldest to the hottest ones, and vice versa. The proposed algorithm starts from data gathered from relatively short Monte Carlo simulations and is straightforward to implement. We assess its effectiveness on a test case simulation of an Edwards-Anderson spin glass on a lattice of 12^3 sites. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.jcp.2011.10.019 | J. Comput. Physics |
Keywords | Field | DocType |
efficient assignment,configurations drift,edwards-anderson spin glass,temperature value,short monte carlo simulation,parallel tempering monte carlo,test case simulation,proposed algorithm,spin glass,monte carlo,parallel tempering | Statistical physics,Monte Carlo method in statistical physics,Monte Carlo method,Computer science,Hybrid Monte Carlo,Kinetic Monte Carlo,Parallel tempering,Dynamic Monte Carlo method,SIMPLE algorithm,Monte Carlo molecular modeling | Journal |
Volume | Issue | ISSN |
231 | 4 | 0021-9991 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Guidetti | 1 | 0 | 0.34 |
| V. Rolando | 2 | 1 | 1.34 |
| R. Tripiccione | 3 | 73 | 12.68 |