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Nucleation pathways on complex networks
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10.1063/1.4790832
/content/aip/journal/chaos/23/1/10.1063/1.4790832
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4790832
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Typical nucleating clusters for several values of for the two different topologies studied (ER and SF). These shown networks contain 100 nodes and 4 mean degree, in order to have a sizeable picture of the system. Up spins and down spins are indicated by blue and yellow circles, respectively.

Image of FIG. 2.
FIG. 2.

The relative size S max of the largest cluster as a function of . Parameters are N = 1000, the average network degree K = 6, h = 0.5, , and .

Image of FIG. 3.
FIG. 3.

Average degree Kn of new phase nodes as a function of . Other parameters are the same as in Fig. 2 .

Image of FIG. 4.
FIG. 4.

(a) The number Ns of nucleating clusters as a function of . (b) Size distribution P(s) of nucleating clusters, on a log-log scale, s denote the size of nucleating clusters. Other parameters are the same as in Fig. 2 .

Image of FIG. 5.
FIG. 5.

The relative S max, Kn , Ns , and as a function of for assortative, uncorrelated, and disassortative degreemixing networks, corresponding to r = 0.2, 0, −0.2, respectively. Other parameters are the same as in Fig. 2 .

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/content/aip/journal/chaos/23/1/10.1063/1.4790832
2013-02-07
2014-04-20
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Nucleation pathways on complex networks
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4790832
10.1063/1.4790832
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