Percolation transitions in two dimensions
Xiaomei Feng, Youjin Deng, and Henk W.J. Blote

TL;DR
This study numerically analyzes percolation thresholds on various two-dimensional lattices, confirming theoretical predictions about scaling corrections and revealing lattice orientation effects on correction amplitudes.
Contribution
It provides new numerical estimates of percolation thresholds for several 2D lattices and investigates the nature of scaling corrections, including logarithmic factors, in these models.
Findings
Corrections to scaling follow the second temperature dimension $X_{t2}=4$ as predicted.
Evidence of additional logarithmic correction terms in some cases.
Lattice orientation influences the amplitude of power-law correction terms.
Abstract
We investigate bond- and site-percolation models on several two-dimensional lattices numerically, by means of transfer-matrix calculations and Monte Carlo simulations. The lattices include the square, triangular, honeycomb kagome and diced lattices with nearest-neighbor bonds, and the square lattice with nearest- and next-nearest-neighbor bonds. Results are presented for the bond-percolation thresholds of the kagome and diced lattices, and the site-percolation thresholds of the square, honeycomb and diced lattices. We also include the bond- and site-percolation thresholds for the square lattice with nearest- and next-nearest-neighbor bonds. We find that corrections to scaling behave according to the second temperature dimension predicted by the Coulomb gas theory and the theory of conformal invariance. In several cases there is evidence for an additional term with the same…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Advanced Thermodynamics and Statistical Mechanics
