Home ยป “Eliminating Nonergodicity in Sweeny Algorithm for Small Q Random-Cluster Model in Two Dimensions via Kawasaki Algorithm and Bond Classification”

“Eliminating Nonergodicity in Sweeny Algorithm for Small Q Random-Cluster Model in Two Dimensions via Kawasaki Algorithm and Bond Classification”

by satcit

https://pubmed.ncbi.nlm.nih.gov/38115514

The Sweeny algorithm for the random-cluster model with small Q in two dimensions exhibits a mix of critical dynamical scaling behaviors, but encounters nonergodicity and Q-dependent critical slowing-down for certain local patterns, which can be eliminated by a combination of Sweeny and Kawasaki algorithms and improved further by classifying and handling bonds differently.

You may also like

Leave a Comment