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Ensemble optimization techniques for the simulation of slowly equilibrating systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Trebst, Simon Huse, David A. Gull, Emanuel Hansmann Troyer, Matthias |
| Copyright Year | 2006 |
| Abstract | Competing phases or interactions in complex many-particle systems can result in free energy barriers that strongly suppress thermal equilibration. Here we discuss how extended ensemble Monte Carlo simulations can be used to study the equilibrium behavior of such systems. Special focus will be given to a recently developed adaptive Monte Carlo technique that is capable to explore and overcome the entropic barriers which cause the slow-down. We discuss this technique in the context of broad-histogram Monte Carlo algorithms as well as its application to replica-exchange methods such as parallel tempering. We briefly discuss a number of examples including low-temperature states of magnetic systems with competing interactions and dense liquids. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.thp.uni-koeln.de/trebst/pubs/OptimizedEnsemblesProceedings.pdf |
| Alternate Webpage(s) | http://arxiv.org/pdf/cond-mat/0606005v1.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Equilibrium Interaction Leucaena pulverulenta Liquid substance Mathematical optimization Monte Carlo method Parallel tempering Particle system Simulation free energy |
| Content Type | Text |
| Resource Type | Article |
