Dynamics and optimal number of replicas in parallel tempering simulations
Document Type
Article
Publication Date
12-4-2007
Abstract
We study the dynamics of parallel tempering simulations, also known as the replica exchange technique, which has become the method of choice for simulation of proteins and other complex systems. Recent results for the optimal choice of the control parameter discretization allow a treatment independent of the system in question. By analyzing mean first passage times across the control parameter space, we find an expression for the optimal number of replicas in simulations covering a given temperature range. Our results suggest a particular protocol to optimize the number of replicas in actual simulations. © 2007 The American Physical Society.
Publication Title
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
Recommended Citation
Nadler, W.,
&
Hansmann, U.
(2007).
Dynamics and optimal number of replicas in parallel tempering simulations.
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics,
76(6).
http://doi.org/10.1103/PhysRevE.76.065701
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10078