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The crossover from 2D to 3D percolation: Theory and numerical simulations

Overview of attention for article published in The European Physical Journal E, August 2003
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Title
The crossover from 2D to 3D percolation: Theory and numerical simulations
Published in
The European Physical Journal E, August 2003
DOI 10.1140/epje/i2002-10161-6
Pubmed ID
Authors

P. Sotta, D. Long

Abstract

We describe here the crossover between 2D and 3D percolation, which we do on cubic and square lattices. As in all problems of critical phenomena, the quantities of interest can be expressed as power laws of /p-pc(h)/, where pc(h) and h are the percolation threshold and the thickness of the film, respectively. When these quantities are considered on the scale of the thickness h of the films, the corresponding numerical prefactors are of order one. However, for many problems, the scale of interest is the elementary one. The corresponding expressions contain then prefactors in power of h which we calculate. For instance, we show that the mass distribution n(m) of the clusters is given by a master function of h(-D+1/sigma2nu3)/p-pc(h)/1/sigma2(m), where h is the thickness of the film and D, nu3, sigma2 are tabulated 2D and 3D critical exponents. We consider also the size R2( m) of the clusters as a function of their mass m, for which we provide both scaling laws and numerical data. Therefore, any property corresponding to a given moment of mass and size can be obtained from our results. These results might be useful for describing transport properties, such as electric conductivity, or the mechanical properties of thin films made of disordered materials.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
United Kingdom 1 2%
India 1 2%
Spain 1 2%
Unknown 54 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Researcher 14 24%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 8 14%
Unknown 8 14%
Readers by discipline Count As %
Physics and Astronomy 18 31%
Materials Science 13 22%
Engineering 8 14%
Chemistry 3 5%
Chemical Engineering 2 3%
Other 5 8%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2010.
All research outputs
#7,729,323
of 23,498,099 outputs
Outputs from The European Physical Journal E
#196
of 650 outputs
Outputs of similar age
#17,015
of 49,603 outputs
Outputs of similar age from The European Physical Journal E
#2
of 4 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 49,603 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.