scholarly journals Percolation parameter and percolation-threshold estimates for three-dimensional random ellipses with widely scattered distributions of eccentricity and size

2000 ◽  
Vol 62 (5) ◽  
pp. 5948-5952 ◽  
Author(s):  
J.-R. de Dreuzy ◽  
P. Davy ◽  
O. Bour
Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2658
Author(s):  
Jun Morita ◽  
Takanori Goto ◽  
Shinji Kanehashi ◽  
Takeshi Shimomura

The critical phenomena of double percolation on polybutadiene (PB)/polyethylene glycol (PEG) blends loaded with poly-3-hexylthiophene (P3HT) nanofibers is investigated. P3HT nanofibers are selectively localized in the PB phase of the PB/PEG blend, as observed by scanning force microscopy (SFM). Moreover, double percolation is observed, i.e., the percolation of the PB phase in PB/PEG blends and that of the P3HT nanofibers in the PB phase. The percolation threshold (φcI) and critical exponent (tI) of the percolation of the PB phase in PB/PEG blends are estimated to be 0.57 and 1.3, respectively, indicating that the percolation exhibits two-dimensional properties. For the percolation of P3HT nanofibers in the PB phase, the percolation threshold (φcII) and critical exponent (tII) are estimated to be 0.02 and 1.7, respectively. In this case, the percolation exhibits properties in between two and three dimensions. In addition, we investigated the dimensionality with respect to the carrier transport in the P3HT nanofiber network. From the temperature dependence of the field-effect mobility estimated by field-effect transistor (FET) measurements, the carrier transport was explained by a three-dimensional variable range hopping (VRH) model.


2004 ◽  
Vol 82 (4) ◽  
pp. 323-329
Author(s):  
A Ulug ◽  
M Karakaplan ◽  
B Ulug

Clustering in some two- and three-dimensional lattices is investigated using an algorithm similar to that of Hoshen–Kopelman. The total number of clusters reveals a maximum at an occupation probability, pmax, where the average cluster size, 2.03 ± 0.07, is found to be independent of the size, dimension, coordination number, and the type of lattice. We discussed the fact that the clustering effectively begins at pmax. The percolation threshold, pc, and pmax are found to get closer to each other as the coordination number increases. PACS Nos.: 64.60.Ht, 64.60.Qb, 82.30.Nr


1994 ◽  
Vol 27 (13) ◽  
pp. L475-L480 ◽  
Author(s):  
D Stauffer ◽  
J Adler ◽  
A Aharony

Fractals ◽  
2016 ◽  
Vol 24 (04) ◽  
pp. 1650053 ◽  
Author(s):  
YANGSHENG ZHAO ◽  
ZENGCHAO FENG ◽  
ZHAOXING LV ◽  
DONG ZHAO ◽  
WEIGUO LIANG

The fracture-pore double porosity medium is one of the most common media in nature, for example, rock mass in strata. Fracture has a more significant effect on fluid flow than a pore in a fracture-pore double porosity medium. Hence, the fracture effect on percolation should be considered when studying the percolation phenomenon in porous media. In this paper, based on the fractal distribution law, three-dimensional (3D) fracture surfaces, and two-dimensional (2D) fracture traces in rock mass, the locations of fracture surfaces or traces are determined using a random function of uniform distribution. Pores are superimposed to build a fractal fracture-pore double medium. Numerical experiments were performed to show percolation phenomena in the fracture-pore double medium. The percolation threshold can be determined from three independent variables (porosity [Formula: see text], fracture fractal dimension [Formula: see text], and initial value of fracture number [Formula: see text]). Once any two are determined, the percolation probability exists at a critical point with the remaining parameter changing. When the initial value of the fracture number is greater than zero, the percolation threshold in the fracture-pore medium is much smaller than that in a pore medium. When the fracture number equals zero, the fracture-pore medium degenerates to a pore medium, and both percolation thresholds are the same.


1980 ◽  
Vol 22 (9) ◽  
pp. 4412-4423 ◽  
Author(s):  
R. A. Cowley ◽  
G. Shirane ◽  
R. J. Birgeneau ◽  
E. C. Svensson ◽  
H. J. Guggenheim

2009 ◽  
Vol 4 (3) ◽  
pp. 67-73
Author(s):  
Khubita Lamazhapov ◽  
Sergey Prokhorov ◽  
Dmitriy Rybakov

Computer model of three-dimensional contact clusters has been examined. Model elements have following attributes: position, oblongness and orientation. It has been shown that oblongness and orientation noticeably influence on percolation threshold. Increase of angular dispersion causes critical density decrease. Element aspect ratio increase causes critical density decrease as well. Shortest path length in cluster is maximal at the percolation threshold. Transfer rate is minimal at the percolation threshold.


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