In the 3D Ising model, a fluctuating domain wall interacts with bulk particles such that large-distance corrections to free energy and correlation tails are controlled by a single renormalized coupling λ in the nearly on-shell regime.
An efficient, multiple range random walk algorithm to calculate the density of states
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
We present a new Monte Carlo algorithm that produces results of high accuracy with reduced simulational effort. Independent random walks are performed (concurrently or serially) in different, restricted ranges of energy, and the resultant density of states is modified continuously to produce locally flat histograms. This method permits us to directly access the free energy and entropy, is independent of temperature, and is efficient for the study of both 1st order and 2nd order phase transitions. It should also be useful for the study of complex systems with a rough energy landscape.
citation-role summary
background 1
method 1
citation-polarity summary
verdicts
UNVERDICTED 2representative citing papers
Density-of-states lattice study of the first-order phase transition in Sp(4) Yang-Mills theory at finite temperature, confirming metastability and surface tension for two temporal extents toward the continuum limit.
citing papers explorer
-
Effective strings and particles interacting in 3D: the Ising model
In the 3D Ising model, a fluctuating domain wall interacts with bulk particles such that large-distance corrections to free energy and correlation tails are controlled by a single renormalized coupling λ in the nearly on-shell regime.
-
Finite-temperature Yang-Mills theories with the density of states method: towards the continuum limit
Density-of-states lattice study of the first-order phase transition in Sp(4) Yang-Mills theory at finite temperature, confirming metastability and surface tension for two temporal extents toward the continuum limit.