Metropolis Algorithms in Generalized Ensemble

Details Metropolis Algorithms in Generalized Ensemble Metropolis Algorithms in Generalized Ensemble

2003-08-06

arxiv.org/abs/cond-mat/0308119v1

Physics

Condensed Matter

Statistical Mechanics

10 pages, (RevTeX), 8 figures, to be published in the Proceedings of the Monte Carlo Method in the Physical Sciences: Celebrat

Scientific paper

10.1063/1.1632136

In complex systems such as spin systems and protein systems, conventional simulations in the canonical ensemble will get trapped in states of energy local minima. We employ the generalized-ensemble algorithms in order to overcome this multiple-minima problem. Two well-known generalized-ensemble algorithms, namely, multicanonical algorithm and replica-exchange method, are described. We then present four new generalized-ensemble algorithms as further extensions of the two methods. Effectiveness of the new methods are illustrated with a Potts model, Lennard-Jones fluid system, and protein system.

Affiliated with

Also associated with

No associations

Rating

Metropolis Algorithms in Generalized Ensemble does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Metropolis Algorithms in Generalized Ensemble, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Metropolis Algorithms in Generalized Ensemble will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-3658