Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2012-02-03
Phys. Rev. E 85, 036710 (2012)
Physics
Condensed Matter
Statistical Mechanics
20 pages, 13 figures; supplementary material available on request
Scientific paper
10.1103/PhysRevE.85.036710
We propose a new Monte Carlo method for efficiently sampling trajectories with fixed initial and final conditions in a system with discrete degrees of freedom. The method can be applied to any stochastic process with local interactions, including systems that are out of equilibrium. We combine the proposed path-sampling algorithm with thermodynamic integration to calculate transition rates. We demonstrate our method on the well studied 2D Ising model with periodic boundary conditions, and show agreement with other results both for large and small system sizes. The method scales well with the system size, allowing one to simulate systems with many degrees of freedom, and providing complementary information with respect to other algorithms.
Mora Thierry
Walczak Aleksandra M.
Zamponi Francesco
No associations
LandOfFree
Transition path sampling algorithm for discrete many-body systems 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 Transition path sampling algorithm for discrete many-body systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Transition path sampling algorithm for discrete many-body systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-4235