Ensemble optimization techniques for the simulation of slowly equilibrating systems
Document Type
Conference Proceeding
Publication Date
2009
Department
Department of Physics
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.
Publication Title
Springer Proceedings in Physics
ISBN
978-3-540-85625-2
Recommended Citation
Trebst, S.,
Huse, D.,
Gull, E.,
Katzgraber, H.,
Hansmann, U. H.,
&
Troyer, M.
(2009).
Ensemble optimization techniques for the simulation of slowly equilibrating systems.
Springer Proceedings in Physics,
123, 33-47.
http://doi.org/10.1007/978-3-540-85625-2_6
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/4170