Abstract
The site-percolation problem on a simple cubic lattice is studied by the Monte Carlo method. By combining results for periodic lattices of different sizes through the use of finite-size scaling theory we obtain good estimates for pc (0.3115±0.0005), β (0.41±0.01), γ (1.6±0.1), and ν(0.8±0.1). These results are consistent with other studies. The shape of the clusters is also studied. The average "surface area" for clusters of size k is found to be close to its maximal value for the low-concentration region as well as for the critical region. The percentage of particles in clusters of different sizes k is found to have an exponential tail for large values of k for P <pc. For p >pc there is too much scatter in the data to draw firm conclusions about the size distribution.
| Original language | English |
|---|---|
| Pages (from-to) | 345-353 |
| Number of pages | 9 |
| Journal | Journal of Statistical Physics |
| Volume | 15 |
| Issue number | 5 |
| DOIs | |
| State | Published - Nov 1976 |
| Externally published | Yes |
Keywords
- Monte Carlo method
- Site percolation
- critical exponents
- finite-size scaling
- percolation threshold
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