Physics – Mathematical Physics
Scientific paper
2011-11-14
Physics
Mathematical Physics
presented at SigmaPhi2011 conference
Scientific paper
In this communication with computer simulation we evaluate simple cubic random-site percolation thresholds for neighbourhoods including the nearest neighbours (NN), the next-nearest neighbours (2NN) and the next-next-nearest neighbours (3NN). Our estimations base on finite-size scaling analysis of the percolation probability vs. site occupation probability plots. The Hoshen--Kopelman algorithm has been applied for cluster labelling. The calculated thresholds are 0.1372(1), 0.1420(1), 0.0976(1), 0.1991(1), 0.1036(1), 0.2455(1) for (NN + 2NN), (NN + 3NN), (NN + 2NN + 3NN), 2NN, (2NN + 3NN), 3NN neighbourhoods, respectively. In contrast to the results obtained for a square lattice the calculated percolation thresholds decrease monotonically with the site coordination number z, at least for our inspected neighbourhoods.
Kurzawski Lukasz
Malarz Krzysztof
No associations
LandOfFree
Simple cubic random-site percolation thresholds for complex neighbourhoods 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 Simple cubic random-site percolation thresholds for complex neighbourhoods, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Simple cubic random-site percolation thresholds for complex neighbourhoods will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-218576