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Percolation threshold
Threshold of percolation theory models

The percolation threshold is a mathematical concept in percolation theory that describes the formation of long-range connectivity in random systems. Below the threshold a giant connected component does not exist; while above it, there exists a giant component of the order of system size. In engineering and coffee making, percolation represents the flow of fluids through porous media, but in the mathematics and physics worlds it generally refers to simplified lattice models of random systems or networks (graphs), and the nature of the connectivity in them. The percolation threshold is the critical value of the occupation probability p, or more generally a critical surface for a group of parameters p1, p2, ..., such that infinite connectivity (percolation) first occurs.

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Percolation models

The most common percolation model is to take a regular lattice, like a square lattice, and make it into a random network by randomly "occupying" sites (vertices) or bonds (edges) with a statistically independent probability p. At a critical threshold pc, large clusters and long-range connectivity first appear, and this is called the percolation threshold. Depending on the method for obtaining the random network, one distinguishes between the site percolation threshold and the bond percolation threshold. More general systems have several probabilities p1, p2, etc., and the transition is characterized by a critical surface or manifold. One can also consider continuum systems, such as overlapping disks and spheres placed randomly, or the negative space (Swiss-cheese models).

To understand the threshold, you can consider a quantity such as the probability that there is a continuous path from one boundary to another along occupied sites or bonds—that is, within a single cluster. For example, one can consider a square system, and ask for the probability P that there is a path from the top boundary to the bottom boundary. As a function of the occupation probability p, one finds a sigmoidal plot that goes from P=0 at p=0 to P=1 at p=1. The larger the square is compared to the lattice spacing, the sharper the transition will be. When the system size goes to infinity, P(p) will be a step function at the threshold value pc. For finite large systems, P(pc) is a constant whose value depends upon the shape of the system; for the square system discussed above, P(pc)=1⁄2 exactly for any lattice by a simple symmetry argument.

There are other signatures of the critical threshold. For example, the size distribution (number of clusters of size s) drops off as a power-law for large s at the threshold, ns(pc) ~ s−τ, where τ is a dimension-dependent percolation critical exponents. For an infinite system, the critical threshold corresponds to the first point (as p increases) where the size of the clusters become infinite.

In the systems described so far, it has been assumed that the occupation of a site or bond is completely random—this is the so-called Bernoulli percolation. For a continuum system, random occupancy corresponds to the points being placed by a Poisson process. Further variations involve correlated percolation, such as percolation clusters related to Ising and Potts models of ferromagnets, in which the bonds are put down by the Fortuin–Kasteleyn method.2 In bootstrap or k-sat percolation, sites and/or bonds are first occupied and then successively culled from a system if a site does not have at least k neighbors. Another important model of percolation, in a different universality class altogether, is directed percolation, where connectivity along a bond depends upon the direction of the flow. Another variation of recent interest is Explosive Percolation, whose thresholds are listed on that page.

Over the last several decades, a tremendous amount of work has gone into finding exact and approximate values of the percolation thresholds for a variety of these systems. Exact thresholds are only known for certain two-dimensional lattices that can be broken up into a self-dual array, such that under a triangle-triangle transformation, the system remains the same. Studies using numerical methods have led to numerous improvements in algorithms and several theoretical discoveries.

Simple duality in two dimensions implies that all fully triangulated lattices (e.g., the triangular, union jack, cross dual, martini dual and asanoha or 3-12 dual, and the Delaunay triangulation) all have site thresholds of 1⁄2, and self-dual lattices (square, martini-B) have bond thresholds of 1⁄2.

The notation such as (4,82) comes from Grünbaum and Shephard,3 and indicates that around a given vertex, going in the clockwise direction, one encounters first a square and then two octagons. Besides the eleven Archimedean lattices composed of regular polygons with every site equivalent, many other more complicated lattices with sites of different classes have been studied.

Error bars in the last digit or digits are shown by numbers in parentheses. Thus, 0.729724(3) signifies 0.729724 ± 0.000003, and 0.74042195(80) signifies 0.74042195 ± 0.00000080. The error bars variously represent one or two standard deviations in net error (including statistical and expected systematic error), or an empirical confidence interval, depending upon the source.

Percolation on networks

For a random tree-like network (i.e., a connected network with no cycle) without degree-degree correlation, it can be shown that such network can have a giant component, and the percolation threshold (transmission probability) is given by

p c = 1 g 1 ′ ( 1 ) = ⟨ k ⟩ ⟨ k 2 ⟩ − ⟨ k ⟩ {\displaystyle p_{c}={\frac {1}{g_{1}'(1)}}={\frac {\langle k\rangle }{\langle k^{2}\rangle -\langle k\rangle }}} .

Where g 1 ( z ) {\displaystyle g_{1}(z)} is the generating function corresponding to the excess degree distribution, ⟨ k ⟩ {\displaystyle {\langle k\rangle }} is the average degree of the network and ⟨ k 2 ⟩ {\displaystyle {\langle k^{2}\rangle }} is the second moment of the degree distribution. So, for example, for an ER network, since the degree distribution is a Poisson distribution, where ⟨ k 2 ⟩ = ⟨ k ⟩ 2 + ⟨ k ⟩ , {\displaystyle {\langle k^{2}\rangle =\langle k\rangle ^{2}+\langle k\rangle },} the threshold is at p c = ⟨ k ⟩ − 1 {\displaystyle p_{c}={\langle k\rangle }^{-1}} .

In networks with low clustering, 0 < C ≪ 1 {\displaystyle 0<C\ll 1} , the critical point gets scaled by ( 1 − C ) − 1 {\displaystyle (1-C)^{-1}} such that:4

p c = 1 1 − C 1 g 1 ′ ( 1 ) . {\displaystyle p_{c}={\frac {1}{1-C}}{\frac {1}{g_{1}'(1)}}.}

This indicates that for a given degree distribution, the clustering leads to a larger percolation threshold, mainly because for a fixed number of links, the clustering structure reinforces the core of the network with the price of diluting the global connections. For networks with high clustering, strong clustering could induce the core–periphery structure, in which the core and periphery might percolate at different critical points, and the above approximate treatment is not applicable.5

Percolation in 2D

Thresholds on Archimedean lattices

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
3-12 or super-kagome, (3, 122 )330.807900764... = (1 − 2 sin (π/18))1⁄260.74042195(80),7 0.74042077(2),8 0.740420800(2),9 0.7404207988509(8),1011 0.740420798850811610(2),12
cross, truncated trihexagonal (4, 6, 12)330.746,13 0.750,14 0.747806(4),15 0.7478008(2)160.6937314(1),17 0.69373383(72),18 0.693733124922(2)19
square octagon, bathroom tile, 4-8, truncated square

(4, 82)

3-0.729,20 0.729724(3),21 0.7297232(5)220.6768,23 0.67680232(63),24 0.6768031269(6),25 0.6768031243900113(3),26
honeycomb (63)330.6962(6),27 0.697040230(5),28 0.6970402(1),29 0.6970413(10),30 0.697043(3),310.652703645... = 1-2 sin (π/18), 1+ p3-3p2=032
kagome (3, 6, 3, 6)440.652703645... = 1 − 2 sin(π/18)330.5244053(3),34 0.52440516(10),35 0.52440499(2),36 0.524404978(5),37 0.52440572...,38 0.52440500(1),39 0.524404999173(3),4041 0.524404999167439(4)42 0.52440499916744820(1)43
ruby,44 rhombitrihexagonal (3, 4, 6, 4)440.620,45 0.621819(3),46 0.62181207(7)470.52483258(53),48 0.5248311(1),49 0.524831461573(1)50
square (44)440.59274(10),51 0.59274605079210(2),52 0.59274601(2),53 0.59274605095(15),54 0.59274621(13),55 0.592746050786(3),56 0.59274621(33),57 0.59274598(4),5859 0.59274605(3),60 0.593(1),61 0.591(1),62 0.569(13),63 0.59274(5)641⁄2
snub hexagonal, maple leaf65 (34,6)550.57966 0.579498(3)670.43430621(50),68 0.43432764(3),69 0.4343283172240(6),70
snub square, puzzle (32, 4, 3, 4 )550.550,7172 0.550806(3)730.41413743(46),74 0.4141378476(7),75 0.4141378565917(1),76
frieze, elongated triangular(33, 42)550.549,77 0.550213(3),78 0.5502(8)790.4196(6),80 0.41964191(43),81 0.41964044(1),82 0.41964035886369(2) 83
triangular (36)661⁄20.347296355... = 2 sin (π/18), 1 + p3 − 3p = 084

Note: sometimes "hexagonal" is used in place of honeycomb, although in some contexts a triangular lattice is also called a hexagonal lattice. z = bulk coordination number.

2D lattices with extended and complex neighborhoods

In this section, sq-1,2,3 corresponds to square (NN+2NN+3NN),85 etc. Equivalent to square-2N+3N+4N,86 sq(1,2,3).87 tri = triangular, hc = honeycomb.

LatticezSite percolation thresholdBond percolation threshold
sq-1, sq-2, sq-3, sq-540.5927...8889 (square site)
sq-1,2, sq-2,3, sq-3,580.407...909192 (square matching)0.25036834(6),93 0.2503685,94 0.25036840(4)95
sq-1,380.33796970.221499598
sq-2,5: 2NN+5NN80.33799
hc-1,2,3: honeycomb-NN+2NN+3NN120.300,100 0.300,101 0.302960... = 1-pc(site, hc) 102
tri-1,2: triangular-NN+2NN120.295,103 0.289,104 0.290258(19)105
tri-2,3: triangular-2NN+3NN120.232020(36),106 0.232020(20)107
sq-4: square-4NN80.270...108
sq-1,5: square-NN+5NN (r ≤ 2)80.277109
sq-1,2,3: square-NN+2NN+3NN120.292,110 0.290(5) 111 0.289,112 0.288,1131140.1522203115
sq-2,3,5: square-2NN+3NN+5NN120.288116
sq-1,4: square-NN+4NN120.236117
sq-2,4: square-2NN+4NN120.225118
tri-4: triangular-4NN120.192450(36),119 0.1924428(50)120
hc-2,4: honeycomb-2NN+4NN120.2374121
tri-1,3: triangular-NN+3NN120.264539(21)122
tri-1,2,3: triangular-NN+2NN+3NN180.225,123 0.215,124 0.215459(36)125 0.2154657(17)126
sq-3,4: 3NN+4NN120.221127
sq-1,2,5: NN+2NN+5NN120.2401280.13805374129
sq-1,3,5: NN+3NN+5NN120.233130
sq-4,5: 4NN+5NN120.199131
sq-1,2,4: NN+2NN+4NN160.219132
sq-1,3,4: NN+3NN+4NN160.208133
sq-2,3,4: 2NN+3NN+4NN160.202134
sq-1,4,5: NN+4NN+5NN160.187135
sq-2,4,5: 2NN+4NN+5NN160.182136
sq-3,4,5: 3NN+4NN+5NN160.179137
sq-1,2,3,5 asterisk pattern160.2081380.1032177139
tri-4,5: 4NN+5NN180.140250(36),140
sq-1,2,3,4: NN+2NN+3NN+4NN ( r ≤ 5 {\displaystyle r\leq {\sqrt {5}}} )200.19671(9),141 0.196,142 0.196724(10)1430.0841509144
sq-1,2,4,5: NN+2NN+4NN+5NN200.177145
sq-1,3,4,5: NN+3NN+4NN+5NN200.172146
sq-2,3,4,5: 2NN+3NN+4NN+5NN200.167147
sq-1,2,3,5,6 asterisk pattern200.0783110148
sq-1,2,3,4,5: NN+2NN+3NN+4NN+5NN ( r ≤ 8 {\displaystyle r\leq {\sqrt {8}}} )240.164149
tri-1,4,5: NN+4NN+5NN240.131660(36)150
sq-1,...,6: NN+...+6NN (r≤3)280.1421510.0558493152
tri-2,3,4,5: 2NN+3NN+4NN+5NN300.117460(36)153 0.135823(27)154
tri-1,2,3,4,5: NN+2NN+3NN+4NN+5NN 360.115,155 0.115740(36),156 0.1157399(58) 157
sq-1,...,7: NN+...+7NN ( r ≤ 10 {\displaystyle r\leq {\sqrt {10}}} )360.1131580.04169608159
sq lat, diamond boundary: dist. ≤ 4400.105(5)160
sq-1,...,8: NN+..+8NN ( r ≤ 13 {\displaystyle r\leq {\sqrt {13}}} )440.095,161 0.095765(5),162 0.09580(2)163
sq-1,...,9: NN+..+9NN (r≤4)480.0861640.02974268165
sq-1,...,11: NN+...+11NN ( r ≤ 18 {\displaystyle r\leq {\sqrt {18}}} )600.02301190(3)166
sq-1,...,23 (r ≤ 7)1480.008342595167
sq-1,...,32: NN+...+32NN ( r ≤ 72 {\displaystyle r\leq {\sqrt {72}}} )2240.0053050415(33)168
sq-1,...,86: NN+...+86NN (r≤15)7080.001557644(4)169
sq-1,...,141: NN+...+141NN ( r ≤ 389 {\displaystyle r\leq {\sqrt {389}}} )12240.000880188(90)170
sq-1,...,185: NN+...+185NN (r≤23)16520.000645458(4)171
sq-1,...,317: NN+...+317NN (r≤31)30000.000349601(3)172
sq-1,...,413: NN+...+413NN ( r ≤ 1280 {\displaystyle r\leq {\sqrt {1280}}} )40160.0002594722(11)173
sq lat, diamond boundary: dist. ≤ 6840.049(5)174
sq lat, diamond boundary: dist. ≤ 81440.028(5)175
sq lat, diamond boundary: dist. ≤ 102200.019(5)176
2x2 touching lattice squares* (same as sq-1,2,3,4)20φc = 0.58365(2),177 pc = 0.196724(10),178 0.19671(9),179
3x3 touching lattice squares* (same as sq-1,...,8))44φc = 0.59586(2),180 pc = 0.095765(5),181 0.09580(2) 182
4x4 touching lattice squares*76φc = 0.60648(1),183 pc = 0.0566227(15),184 0.05665(3),185
5x5 touching lattice squares*116φc = 0.61467(2),186 pc = 0.037428(2),187 0.03745(2),188
6x6 touching lattice squares*220pc = 0.02663(1),189
10x10 touching lattice squares*436φc = 0.63609(2),190 pc = 0.0100576(5) 191
within 11 x 11 square (r=5)1200.01048079(6)192
within 15 x 15 square (r=7)2240.005287692(22)193
20x20 touching lattice squares*1676φc = 0.65006(2),194 pc = 0.0026215(3) 195
within 31 x 31 square (r=15)9600.001131082(5) 196
100x100 touching lattice squares*40396φc = 0.66318(2),197 pc = 0.000108815(12) 198
1000x1000 touching lattice squares*4003996φc = 0.66639(1),199 pc = 1.09778(6)E-06 200

Here NN = nearest neighbor, 2NN = second nearest neighbor (or next nearest neighbor), 3NN = third nearest neighbor (or next-next nearest neighbor), etc. These are also called 2N, 3N, 4N respectively in some papers.201

  • For overlapping or touching squares, p c {\displaystyle p_{c}} (site) given here is the net fraction of sites occupied ϕ c {\displaystyle \phi _{c}} similar to the ϕ c {\displaystyle \phi _{c}} in continuum percolation. The case of a 2×2 square is equivalent to percolation of a square lattice NN+2NN+3NN+4NN or sq-1,2,3,4 with threshold 1 − ( 1 − ϕ c ) 1 / 4 = 0.196724 ( 10 ) … {\displaystyle 1-(1-\phi _{c})^{1/4}=0.196724(10)\ldots } with ϕ c = 0.58365 ( 2 ) {\displaystyle \phi _{c}=0.58365(2)} .202 The 3×3 square corresponds to sq-1,2,3,4,5,6,7,8 with z=44 and p c = 1 − ( 1 − ϕ c ) 1 / 9 = 0.095765 ( 5 ) … {\displaystyle p_{c}=1-(1-\phi _{c})^{1/9}=0.095765(5)\ldots } . The value of z for a k x k square is (2k+1)2-5.

2D distorted lattices

Here, one distorts a regular lattice of unit spacing by moving vertices uniformly within the box ( x − α , x + α ) , ( y − α , y + α ) {\displaystyle (x-\alpha ,x+\alpha ),(y-\alpha ,y+\alpha )} , and considers percolation when sites are within Euclidean distance d {\displaystyle d} of each other.

Lattice z ¯ {\displaystyle {\overline {z}}} α {\displaystyle \alpha } d {\displaystyle d} Site percolation thresholdBond percolation threshold
square0.21.10.8025(2)203
0.21.20.6667(5)204
0.11.10.6619(1)205

Overlapping shapes on 2D lattices

Site threshold is number of overlapping objects per lattice site. k is the length (net area). Overlapping squares are shown in the complex neighborhood section. Here z is the coordination number to k-mers of either orientation, with z = k 2 + 10 k − 2 {\displaystyle z=k^{2}+10k-2} for 1 × k {\displaystyle 1\times k} sticks.

SystemkzSite coverage φcSite percolation threshold pc
1 x 2 dimer, square lattice2220.54691206

0.5483(2)207

0.17956(3)208

0.18019(9)209

1 x 2 aligned dimer, square lattice2140.5715(18)2100.3454(13) 211
1 x 3 trimer, square lattice3370.49898212

0.50004(64)213

0.10880(2)214

0.1093(2)215

1 x 4 stick, square lattice4540.457612160.07362(2)217
1 x 5 stick, square lattice5730.422412180.05341(1)219
1 x 6 stick, square lattice6940.392192200.04063(2)221

The coverage is calculated from p c {\displaystyle p_{c}} by ϕ c = 1 − ( 1 − p c ) 2 k {\displaystyle \phi _{c}=1-(1-p_{c})^{2k}} for 1 × k {\displaystyle 1\times k} sticks, because there are 2 k {\displaystyle 2k} sites where a stick will cause an overlap with a given site.

For aligned 1 × k {\displaystyle 1\times k} sticks: ϕ c = 1 − ( 1 − p c ) k {\displaystyle \phi _{c}=1-(1-p_{c})^{k}}

Approximate formulas for thresholds of Archimedean lattices

LatticezSite percolation thresholdBond percolation threshold
(3, 122 )3
(4, 6, 12)3
(4, 82)30.676835..., 4p3 + 3p4 − 6 p5 − 2 p6 = 1222
honeycomb (63)3
kagome (3, 6, 3, 6)40.524430..., 3p2 + 6p3 − 12 p4+ 6 p5 − p6 = 1223
(3, 4, 6, 4)4
square (44)41⁄2 (exact)
(34,6 )50.434371..., 12p3 + 36p4 − 21p5 − 327 p6 + 69p7 + 2532p8 − 6533 p9 + 8256 p10 − 6255p11 + 2951p12 − 837 p13 + 126 p14 − 7p15 = 1
snub square, puzzle (32, 4, 3, 4 )5
(33, 42)5
triangular (36)61⁄2 (exact)

AB percolation and colored percolation in 2D

In AB percolation, a p s i t e {\displaystyle p_{\mathrm {site} }} is the proportion of A sites among B sites, and bonds are drawn between sites of opposite species.224 It is also called antipercolation.

In colored percolation, occupied sites are assigned one of n {\displaystyle n} colors with equal probability, and connection is made along bonds between neighbors of different colors.225

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation threshold
triangular AB660.2145,226 0.21524(34),227 0.21564(3)228
AB on square-covering lattice66 1 − 1 − p c ( s i t e , s q ) = 0.361835 {\displaystyle 1-{\sqrt {1-p_{c}(site,sq)}}=0.361835} 229
square three-color440.80745(5)230
square four-color440.73415(4)231
square five-color440.69864(7)232
square six-color440.67751(5)233
triangular two-color660.72890(4)234
triangular three-color660.63005(4)235
triangular four-color660.59092(3)236
triangular five-color660.56991(5)237
triangular six-color660.55679(5)238

Site-bond percolation in 2D

Site bond percolation. Here p s {\displaystyle p_{s}} is the site occupation probability and p b {\displaystyle p_{b}} is the bond occupation probability, and connectivity is made only if both the sites and bonds along a path are occupied. The criticality condition becomes a curve f ( p s , p b ) {\displaystyle f(p_{s},p_{b})} = 0, and some specific critical pairs ( p s , p b ) {\displaystyle (p_{s},p_{b})} are listed below.

Square lattice:

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
square440.615185(15)2390.95
0.667280(15)2400.85
0.732100(15)2410.75
0.750.726195(15)242
0.815560(15)2430.65
0.850.615810(30)244
0.950.533620(15)245

Honeycomb (hexagonal) lattice:

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
honeycomb330.7275(5)2460.95
0. 0.7610(5)2470.90
0.7986(5)2480.85
0.800.8481(5)249
0.8401(5)2500.80
0.850.7890(5)251
0.900.7377(5)252
0.950.6926(5)253

Kagome lattice:

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
kagome440.6711(4),254 0.67097(3)2550.95
0.6914(5),256 0.69210(2)2570.90
0.7162(5),258 0.71626(3)2590.85
0.7428(5),260 0.74339(3)2610.80
0.750.7894(9)262
0.7757(8),263 0.77556(3)2640.75
0.800.7152(7)265
0.81206(3)2660.70
0.850.6556(6)267
0.85519(3)2680.65
0.900.6046(5)269
0.90546(3)2700.60
0.950.5615(4)271
0.96604(4)2720.55
0.9854(3)2730.53

* For values on different lattices, see "An investigation of site-bond percolation on many lattices".274

Approximate formula for site-bond percolation on a honeycomb lattice

Latticez z ¯ {\displaystyle {\overline {z}}} ThresholdNotes
(63) honeycomb33 p b p s [ 1 − ( p b c / ( 3 − p b c ) ) ( p b − p b c ) ] = p b c {\displaystyle p_{b}p_{s}[1-({\sqrt {p_{bc}}}/(3-p_{bc}))({\sqrt {p_{b}}}-{\sqrt {p_{bc}}})]=p_{bc}} , When equal: ps = pb = 0.82199approximate formula, ps = site prob., pb = bond prob., pbc = 1 − 2 sin (π/18),275 exact at ps=1, pb=pbc.

Archimedean duals (Laves lattices)

Laves lattices are the duals to the Archimedean lattices. Drawings from.276 See also Uniform tilings.

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
Cairo pentagonal

D(32,4,3,4)=(2⁄3)(53)+(1⁄3)(54)

3,43 1⁄30.6501834(2),277 0.650184(5)2780.585863... = 1 − pcbond(32,4,3,4)
Pentagonal D(33,42)=(1⁄3)(54)+(2⁄3)(53)3,43 1⁄30.6470471(2),279 0.647084(5),280 0.6471(6)2810.580358... = 1 − pcbond(33,42), 0.5800(6)282
D(34,6)=(1⁄5)(46)+(4⁄5)(43)3,63 3⁄50.6394472830.565694... = 1 − pcbond(34,6 )
dice, rhombille tiling

D(3,6,3,6) = (1⁄3)(46) + (2⁄3)(43)

3,640.5851(4),284 0.585040(5)2850.475595... = 1 − pcbond(3,6,3,6 )
ruby dual

D(3,4,6,4) = (1⁄6)(46) + (2⁄6)(43) + (3⁄6)(44)

3,4,640.582410(5)2860.475167... = 1 − pcbond(3,4,6,4 )
union jack, tetrakis square tiling

D(4,82) = (1⁄2)(34) + (1⁄2)(38)

4,861⁄20.323197... = 1 − pcbond(4,82 )
bisected hexagon,287 cross dual

D(4,6,12)= (1⁄6)(312)+(2⁄6)(36)+(1⁄2)(34)

4,6,1261⁄20.306266... = 1 − pcbond(4,6,12)
asanoha (hemp leaf)288

D(3, 122)=(2⁄3)(33)+(1⁄3)(312)

3,1261⁄20.259579... = 1 − pcbond(3, 122)

2-uniform lattices

Top 3 lattices: #13 #12 #36 Bottom 3 lattices: #34 #37 #11

289

Top 2 lattices: #35 #30 Bottom 2 lattices: #41 #42

290

Top 4 lattices: #22 #23 #21 #20 Bottom 3 lattices: #16 #17 #15

291

Top 2 lattices: #31 #32 Bottom lattice: #33

292

#Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
41(1⁄2)(3,4,3,12) + (1⁄2)(3, 122)4,33.50.7680(2)2930.67493252(36)
42(1⁄3)(3,4,6,4) + (2⁄3)(4,6,12)4,331⁄30.7157(2)2940.64536587(40)
36(1⁄7)(36) + (6⁄7)(32,4,12)6,44 2⁄70.6808(2)2950.55778329(40)
15(2⁄3)(32,62) + (1⁄3)(3,6,3,6)4,440.6499(2)2960.53632487(40)
34(1⁄7)(36) + (6⁄7)(32,62)6,44 2⁄70.6329(2)2970.51707873(70)
16(4⁄5)(3,42,6) + (1⁄5)(3,6,3,6)4,440.6286(2)2980.51891529(35)
17(4⁄5)(3,42,6) + (1⁄5)(3,6,3,6)*4,440.6279(2)2990.51769462(35)
35(2⁄3)(3,42,6) + (1⁄3)(3,4,6,4)4,440.6221(2)3000.51973831(40)
11(1⁄2)(34,6) + (1⁄2)(32,62)5,44.50.6171(2)3010.48921280(37)
37(1⁄2)(33,42) + (1⁄2)(3,4,6,4)5,44.50.5885(2)3020.47229486(38)
30(1⁄2)(32,4,3,4) + (1⁄2)(3,4,6,4)5,44.50.5883(2)3030.46573078(72)
23(1⁄2)(33,42) + (1⁄2)(44)5,44.50.5720(2)3040.45844622(40)
22(2⁄3)(33,42) + (1⁄3)(44)5,44 2⁄30.5648(2)3050.44528611(40)
12(1⁄4)(36) + (3⁄4)(34,6)6,55 1⁄40.5607(2)3060.41109890(37)
33(1⁄2)(33,42) + (1⁄2)(32,4,3,4)5,550.5505(2)3070.41628021(35)
32(1⁄3)(33,42) + (2⁄3)(32,4,3,4)5,550.5504(2)3080.41549285(36)
31(1⁄7)(36) + (6⁄7)(32,4,3,4)6,55 1⁄70.5440(2)3090.40379585(40)
13(1⁄2)(36) + (1⁄2)(34,6)6,55.50.5407(2)3100.38914898(35)
21(1⁄3)(36) + (2⁄3)(33,42)6,55 1⁄30.5342(2)3110.39491996(40)
20(1⁄2)(36) + (1⁄2)(33,42)6,55.50.5258(2)3120.38285085(38)

Inhomogeneous 2-uniform lattice

This figure shows something similar to the 2-uniform lattice #37, except the polygons are not all regular—there is a rectangle in the place of the two squares—and the size of the polygons is changed. This lattice is in the isoradial representation in which each polygon is inscribed in a circle of unit radius. The two squares in the 2-uniform lattice must now be represented as a single rectangle in order to satisfy the isoradial condition. The lattice is shown by black edges, and the dual lattice by red dashed lines. The green circles show the isoradial constraint on both the original and dual lattices. The yellow polygons highlight the three types of polygons on the lattice, and the pink polygons highlight the two types of polygons on the dual lattice. The lattice has vertex types (1⁄2)(33,42) + (1⁄2)(3,4,6,4), while the dual lattice has vertex types (1⁄15)(46)+(6⁄15)(42,52)+(2⁄15)(53)+(6⁄15)(52,4). The critical point is where the longer bonds (on both the lattice and dual lattice) have occupation probability p = 2 sin (π/18) = 0.347296... which is the bond percolation threshold on a triangular lattice, and the shorter bonds have occupation probability 1 − 2 sin(π/18) = 0.652703..., which is the bond percolation on a hexagonal lattice. These results follow from the isoradial condition313 but also follow from applying the star-triangle transformation to certain stars on the honeycomb lattice. Finally, it can be generalized to having three different probabilities in the three different directions, p1, p2 and p3 for the long bonds, and 1 − p1, 1 − p2, and 1 − p3 for the short bonds, where p1, p2 and p3 satisfy the critical surface for the inhomogeneous triangular lattice.

Thresholds on 2D bow-tie and martini lattices

To the left, center, and right are: the martini lattice, the martini-A lattice, the martini-B lattice. Below: the martini covering/medial lattice, same as the 2×2, 1×1 subnet for kagome-type lattices (removed).

Some other examples of generalized bow-tie lattices (a-d) and the duals of the lattices (e-h):

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
martini (3⁄4)(3,92)+(1⁄4)(93)330.764826..., 1 + p4 − 3p3 = 03140.707107... = 1/√2315
bow-tie (c)3,43 1⁄70.672929..., 1 − 2p3 − 2p4 − 2p5 − 7p6 + 18p7 + 11p8 − 35p9 + 21p10 − 4p11 = 0316
bow-tie (d)3,43 1⁄30.625457..., 1 − 2p2 − 3p3 + 4p4 − p5 = 0317
martini-A (2⁄3)(3,72)+(1⁄3)(3,73)3,43 1⁄31/√23180.625457..., 1 − 2p2 − 3p3 + 4p4 − p5 = 0319
bow-tie dual (e)3,43 2⁄30.595482..., 1-pcbond (bow-tie (a))320
bow-tie (b)3,4,63 2⁄30.533213..., 1 − p − 2p3 -4p4-4p5+156+ 13p7-36p8+19p9+ p10 + p11=0321
martini covering/medial (1⁄2)(33,9) + (1⁄2)(3,9,3,9)440.707107... = 1/√23220.57086651(33)
martini-B (1⁄2)(3,5,3,52) + (1⁄2)(3,52)3, 540.618034... = 2/(1 + √5), 1- p2 − p = 03233241⁄2325326
bow-tie dual (f)3,4,84 2⁄50.466787..., 1 − pcbond (bow-tie (b))327
bow-tie (a) (1⁄2)(32,4,32,4) + (1⁄2)(3,4,3)4,650.5472(2),328 0.5479148(7)3290.404518..., 1 − p − 6p2 + 6p3 − p5 = 0330331
bow-tie dual (h)3,6,850.374543..., 1 − pcbond(bow-tie (d))332
bow-tie dual (g)3,6,105 1⁄20.547... = pcsite(bow-tie(a))0.327071..., 1 − pcbond(bow-tie (c))333
martini dual (1⁄2)(33) + (1⁄2)(39)3,961⁄20.292893... = 1 − 1/√2334

Thresholds on 2D covering, medial, and matching lattices

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
(4, 6, 12) covering/medial44pcbond(4, 6, 12) = 0.693731...0.5593140(2),335 0.559315(1)
(4, 82) covering/medial, square kagome44pcbond(4,82) = 0.676803...0.544798017(4),336 0.54479793(34)
(34, 6) medial440.5247495(5)337
(3,4,6,4) medial440.51276338
(32, 4, 3, 4) medial440.512682929(8)339
(33, 42) medial440.5125245984(9)340
square covering (non-planar)661⁄20.3371(1)341
square matching lattice (non-planar)881 − pcsite(square) = 0.407253...0.25036834(6)342

Thresholds on 2D chimera non-planar lattices

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
K(2,2)440.51253(14)3430.44778(15)344
K(3,3)660.43760(15)3450.35502(15)346
K(4,4)880.38675(7)3470.29427(12)348
K(5,5)10100.35115(13)3490.25159(13)350
K(6,6)12120.32232(13)3510.21942(11)352
K(7,7)14140.30052(14)3530.19475(9)354
K(8,8)16160.28103(11)3550.17496(10)356

Thresholds on subnet lattices

The 2 x 2, 3 x 3, and 4 x 4 subnet kagome lattices. The 2 × 2 subnet is also known as the "triangular kagome" lattice.357

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
checkerboard – 2 × 2 subnet4,30.596303(1)358
checkerboard – 4 × 4 subnet4,30.633685(9)359
checkerboard – 8 × 8 subnet4,30.642318(5)360
checkerboard – 16 × 16 subnet4,30.64237(1)361
checkerboard – 32 × 32 subnet4,30.64219(2)362
checkerboard – ∞ {\displaystyle \infty } subnet4,30.642216(10)363
kagome – 2 × 2 subnet = (3, 122) covering/medial4pcbond (3, 122) = 0.74042077...0.600861966960(2),364 0.6008624(10),365 0.60086193(3)366
kagome – 3 × 3 subnet40.6193296(10),367 0.61933176(5),368 0.61933044(32)
kagome – 4 × 4 subnet40.625365(3),369 0.62536424(7)370
kagome – ∞ {\displaystyle \infty } subnet40.628961(2)371
kagome – (1 × 1):(2 × 2) subnet = martini covering/medial4pcbond(martini) = 1/√2 = 0.707107...0.57086648(36)
kagome – (1 × 1):(3 × 3) subnet4,30.728355596425196...3720.58609776(37)
kagome – (1 × 1):(4 × 4) subnet0.738348473943256...373
kagome – (1 × 1):(5 × 5) subnet0.743548682503071...374
kagome – (1 × 1):(6 × 6) subnet0.746418147634282...375
kagome – (2 × 2):(3 × 3) subnet0.61091770(30)
triangular – 2 × 2 subnet6,40.471628788376
triangular – 3 × 3 subnet6,40.509077793377
triangular – 4 × 4 subnet6,40.524364822378
triangular – 5 × 5 subnet6,40.5315976(10)379
triangular – ∞ {\displaystyle \infty } subnet6,40.53993(1)380

Thresholds of random sequentially adsorbed objects

(For more results and comparison to the jamming density, see Random sequential adsorption)

systemzSite threshold
dimers on a honeycomb lattice30.69,381 0.6653 382
dimers on a triangular lattice60.4872(8),383 0.4873,384
aligned linear dimers on a triangular lattice60.5157(2) 385
aligned linear 4-mers on a triangular lattice60.5220(2)386
aligned linear 8-mers on a triangular lattice60.5281(5)387
aligned linear 12-mers on a triangular lattice60.5298(8)388
linear 16-mers on a triangular lattice6aligned 0.5328(7)389
linear 32-mers on a triangular lattice6aligned 0.5407(6)390
linear 64-mers on a triangular lattice6aligned 0.5455(4)391
aligned linear 80-mers on a triangular lattice60.5500(6)392
aligned linear k ⟶ ∞ {\displaystyle \longrightarrow \infty } on a triangular lattice60.582(9)393
dimers and 5% impurities, triangular lattice60.4832(7)394
parallel dimers on a square lattice40.5863395
dimers on a square lattice40.5617,396 0.5618(1),397 0.562,398 0.5713399
linear 3-mers on a square lattice40.528400
3-site 120° angle, 5% impurities, triangular lattice60.4574(9)401
3-site triangles, 5% impurities, triangular lattice60.5222(9)402
linear trimers and 5% impurities, triangular lattice60.4603(8)403
linear 4-mers on a square lattice40.504404
linear 5-mers on a square lattice40.490405
linear 6-mers on a square lattice40.479406
linear 8-mers on a square lattice40.474,407 0.4697(1)408
linear 10-mers on a square lattice40.469409
linear 16-mers on a square lattice40.4639(1)410
linear 32-mers on a square lattice40.4747(2)411

The threshold gives the fraction of sites occupied by the objects when site percolation first takes place (not at full jamming). For longer k-mers see Ref.412

Thresholds of full dimer coverings of two dimensional lattices

Here, we are dealing with networks that are obtained by covering a lattice with dimers, and then consider bond percolation on the remaining bonds. In discrete mathematics, this problem is known as the 'perfect matching' or the 'dimer covering' problem.

systemzBond threshold
Parallel covering, square lattice60.381966...413
Shifted covering, square lattice60.347296...414
Staggered covering, square lattice60.376825(2)415
Random covering, square lattice60.367713(2)416
Parallel covering, triangular lattice100.237418...417
Staggered covering, triangular lattice100.237497(2)418
Random covering, triangular lattice100.235340(1)419

Thresholds of polymers (random walks) on a square lattice

System is composed of ordinary (non-avoiding) random walks of length l on the square lattice.420

l (polymer length)zBond percolation
140.5(exact)421
240.47697(4)422
440.44892(6)423
840.41880(4)424

Thresholds of self-avoiding walks of length k added by random sequential adsorption

kzSite thresholdsBond thresholds
140.593(2)4250.5009(2)426
240.564(2)4270.4859(2)428
340.552(2)4290.4732(2)430
440.542(2)4310.4630(2)432
540.531(2)4330.4565(2)434
640.522(2)4350.4497(2)436
740.511(2)4370.4423(2)438
840.502(2)4390.4348(2)440
940.493(2)4410.4291(2)442
1040.488(2)4430.4232(2)444
1140.482(2)4450.4159(2)446
1240.476(2)4470.4114(2)448
1340.471(2)4490.4061(2)450
1440.467(2)4510.4011(2)452
1540.4011(2)4530.3979(2)454

Thresholds on 2D inhomogeneous lattices

LatticezSite percolation thresholdBond percolation threshold
bow-tie with p = 1⁄2 on one non-diagonal bond30.3819654(5),455 ( 3 − 5 ) / 2 {\displaystyle (3-{\sqrt {5}})/2} 456

Thresholds for 2D continuum models

SystemΦcηcnc
Disks of radius r0.67634831(2),457 0.6763475(6),458 0.676339(4),459 0.6764(4),460 0.6766(5),461 0.676(2),462 0.679,463 0.674464 0.676,465 0.6804661.1280867(5),467 1.1276(9),468 1.12808737(6),469 1.128085(2),470 1.128059(12),471 1.13, 0.84721.43632505(10),473 1.43632545(8),474 1.436322(2),475 1.436289(16),476 1.436320(4),477 1.436323(3),478 1.438(2),479 1.216 (48)480
Ellipses, ε = 1.50.00434810.004312.059081(7)482
Ellipses, ε = 5⁄30.654831.054842.28485
Ellipses, ε = 20.6287945(12),486 0.634870.991000(3),488 0.994892.523560(8),490 2.5491
Ellipses, ε = 30.564920.824933.157339(8),494 3.14495
Ellipses, ε = 40.54960.694973.569706(8),498 3.5499
Ellipses, ε = 50.455,500 0.455,501 0.465020.6075033.861262(12),504 3.86505
Ellipses, ε = 64.079365(17)506
Ellipses, ε = 74.249132(16)507
Ellipses, ε = 84.385302(15)508
Ellipses, ε = 94.497000(8)509
Ellipses, ε = 100.301,510 0.303,511 0.305120.358513 0.365144.590416(23)515 4.56,516 4.5517
Ellipses, ε = 154.894752(30)518
Ellipses, ε = 200.178,519 0.175200.1965215.062313(39),522 4.99523
Ellipses, ε = 500.0815240.0845255.393863(28),526 5.38527
Ellipses, ε = 1000.04175280.04265295.513464(40),530 5.42531
Ellipses, ε = 2000.0215320.02125335.40534
Ellipses, ε = 10000.00435350.004315.624756(22),536 5.5
Superellipses, ε = 1, m = 1.50.671537
Superellipses, ε = 2.5, m = 1.50.599538
Superellipses, ε = 5, m = 1.50.469539
Superellipses, ε = 10, m = 1.50.322540
disco-rectangles, ε = 1.51.894 541
disco-rectangles, ε = 22.245 542
Aligned squares of side ℓ {\displaystyle \ell } 0.66675(2),543 0.66674349(3),544 0.66653(1),545 0.6666(4),546 0.6685471.09884280(9),548 1.0982(3),549 1.098(1)5501.09884280(9),551 1.0982(3),552 1.098(1)553
Randomly oriented squares0.62554075(4),554 0.6254(2)555 0.625,5560.9822723(1),557 0.9819(6)558 0.982278(14)5590.9822723(1),560 0.9819(6)561 0.982278(14)562
Randomly oriented squares within angle π / 4 {\displaystyle \pi /4} 0.6255(1)5630.98216(15)564
Rectangles, ε = 1.10.624870(7)0.980484(19)1.078532(21)565
Rectangles, ε = 20.590635(5)0.893147(13)1.786294(26)566
Rectangles, ε = 30.5405983(34)0.777830(7)2.333491(22)567
Rectangles, ε = 40.4948145(38)0.682830(8)2.731318(30)568
Rectangles, ε = 50.4551398(31), 0.4515690.607226(6)3.036130(28)570
Rectangles, ε = 100.3233507(25), 0.3195710.3906022(37)3.906022(37)572
Rectangles, ε = 200.2048518(22)0.2292268(27)4.584535(54)573
Rectangles, ε = 500.09785513(36)0.1029802(4)5.149008(20)574
Rectangles, ε = 1000.0523676(6)0.0537886(6)5.378856(60)575
Rectangles, ε = 2000.02714526(34)0.02752050(35)5.504099(69)576
Rectangles, ε = 10000.00559424(6)0.00560995(6)5.609947(60)577
Sticks (needles) of length ℓ {\displaystyle \ell } 5.63726(2),578 5.6372858(6),579 5.637263(11),580 5.63724(18) 581
sticks with log-normal length dist. STD=0.54.756(3) 582
sticks with correlated angle dist. s=0.56.6076(4) 583
Power-law disks, x = 2.050.993(1)5844.90(1)0.0380(6)
Power-law disks, x = 2.250.8591(5)5851.959(5)0.06930(12)
Power-law disks, x = 2.50.7836(4)5861.5307(17)0.09745(11)
Power-law disks, x = 40.69543(6)5871.18853(19)0.18916(3)
Power-law disks, x = 50.68643(13)5881.1597(3)0.22149(8)
Power-law disks, x = 60.68241(8)5891.1470(1)0.24340(5)
Power-law disks, x = 70.6803(8)5901.140(6)0.25933(16)
Power-law disks, x = 80.67917(9)5911.1368(5)0.27140(7)
Power-law disks, x = 90.67856(12)5921.1349(4)0.28098(9)
Voids around disks of radius r1 − Φc(disk) = 0.32355169(2),593 0.318(2),594 0.3261(6)595

For disks, n c = 4 r 2 N / L 2 {\displaystyle n_{c}=4r^{2}N/L^{2}} equals the critical number of disks per unit area, measured in units of the diameter 2 r {\displaystyle 2r} , where N {\displaystyle N} is the number of objects and L {\displaystyle L} is the system size

For disks, η c = π r 2 N / L 2 = ( π / 4 ) n c {\displaystyle \eta _{c}=\pi r^{2}N/L^{2}=(\pi /4)n_{c}} equals critical total disk area.

4 η c {\displaystyle 4\eta _{c}} gives the number of disk centers within the circle of influence (radius 2 r).

r c = L η c π N = L 2 n c N {\displaystyle r_{c}=L{\sqrt {\frac {\eta _{c}}{\pi N}}}={\frac {L}{2}}{\sqrt {\frac {n_{c}}{N}}}} is the critical disk radius.

η c = π a b N / L 2 {\displaystyle \eta _{c}=\pi abN/L^{2}} for ellipses of semi-major and semi-minor axes of a and b, respectively. Aspect ratio ϵ = a / b {\displaystyle \epsilon =a/b} with a > b {\displaystyle a>b} .

η c = ℓ m N / L 2 {\displaystyle \eta _{c}=\ell mN/L^{2}} for rectangles of dimensions ℓ {\displaystyle \ell } and m {\displaystyle m} . Aspect ratio ϵ = ℓ / m {\displaystyle \epsilon =\ell /m} with ℓ > m {\displaystyle \ell >m} .

η c = π x N / ( 4 L 2 ( x − 2 ) ) {\displaystyle \eta _{c}=\pi xN/(4L^{2}(x-2))} for power-law distributed disks with Prob(radius ≥ R ) = R − x {\displaystyle {\hbox{Prob(radius}}\geq R)=R^{-x}} , R ≥ 1 {\displaystyle R\geq 1} .

ϕ c = 1 − e − η c {\displaystyle \phi _{c}=1-e^{-\eta _{c}}} equals critical area fraction.

For disks, Ref.596 use ϕ c = 1 − e − π x / 2 {\displaystyle \phi _{c}=1-e^{-\pi x/2}} where x {\displaystyle x} is the density of disks of radius 1 / 2 {\displaystyle 1/{\sqrt {2}}} .

n c = ℓ 2 N / L 2 {\displaystyle n_{c}=\ell ^{2}N/L^{2}} equals number of objects of maximum length ℓ = 2 a {\displaystyle \ell =2a} per unit area.

For ellipses, n c = ( 4 ϵ / π ) η c {\displaystyle n_{c}=(4\epsilon /\pi )\eta _{c}}

For void percolation, ϕ c = e − η c {\displaystyle \phi _{c}=e^{-\eta _{c}}} is the critical void fraction.

For more ellipse values, see 597598

For more rectangle values, see 599

Both ellipses and rectangles belong to the superellipses, with | x / a | 2 m + | y / b | 2 m = 1 {\displaystyle |x/a|^{2m}+|y/b|^{2m}=1} . For more percolation values of superellipses, see.600

For the monodisperse particle systems, the percolation thresholds of concave-shaped superdisks are obtained as seen in 601

For binary dispersions of disks, see 602603604

Thresholds on 2D random and quasi-lattices

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
Relative neighborhood graph2.55760.796(2)6050.771(2)606
Voronoi tessellation30.71410(2),607 0.7151*6080.68,609 0.6670(1),610 0.6680(5),611 0.666931(5)612
Voronoi covering/medial40.666931(2)6136140.53618(2)615
Randomized kagome/square-octagon, fraction r=1⁄240.6599616
Penrose rhomb dual40.6381(3)6170.5233(2)618
Gabriel graph40.6348(8),619 0.626200.5167(6),621 0.52622
Random-line tessellation, dual40.586(2)623
Penrose rhomb40.5837(3),624 0.0.5610(6) (weighted bonds)625 0.58391(1)6260.483(5),627 0.4770(2)628
Octagonal lattice, "chemical" links (Ammann–Beenker tiling)40.5856290.48630
Octagonal lattice, "ferromagnetic" links5.170.5436310.40632
Dodecagonal lattice, "chemical" links3.630.6286330.54634
Dodecagonal lattice, "ferromagnetic" links4.270.6176350.495636
Delaunay triangulation61⁄26370.3333(1)638 0.3326(5),639 0.333069(2)640
Uniform Infinite Planar Triangulation64161⁄2(2√3 – 1)/11 ≈ 0.2240642643

*Theoretical estimate

Thresholds on 2D correlated systems

Assuming power-law correlations C ( r ) ∼ | r | − α {\displaystyle C(r)\sim |r|^{-\alpha }}

latticeαSite percolation thresholdBond percolation threshold
square30.561406(4)644
square20.550143(5)645
square0.10.508(4)646

Thresholds on slabs

h is the thickness of the slab, h × ∞ × ∞. Boundary conditions (b.c.) refer to the top and bottom planes of the slab.

Latticehz z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
simple cubic (open b.c.)2550.47424,647 0.4756648
bcc (open b.c.)20.4155649
hcp (open b.c.)20.2828650
diamond (open b.c.)20.5451651
simple cubic (open b.c.)30.4264652
bcc (open b.c.)30.3531653
bcc (periodic b.c.)30.21113018(38)654
hcp (open b.c.)30.2548655
diamond (open b.c.)30.5044656
simple cubic (open b.c.)40.3997,657 0.3998658
bcc (open b.c.)40.3232659
bcc (periodic b.c.)40.20235168(59)660
hcp (open b.c.)40.2405661
diamond (open b.c.)40.4842662
simple cubic (periodic b.c.)5660.278102(5)663
simple cubic (open b.c.)60.3708664
simple cubic (periodic b.c.)6660.272380(2)665
bcc (open b.c.)60.2948666
hcp (open b.c.)60.2261667
diamond (open b.c.)60.4642668
simple cubic (periodic b.c.)7660.3459514(12)6690.268459(1)670
simple cubic (open b.c.)80.3557,671 0.3565672
simple cubic (periodic b.c.)8660.265615(5)673
bcc (open b.c.)80.2811674
hcp (open b.c.)80.2190675
diamond (open b.c.)80.4549676
simple cubic (open b.c.)120.3411677
bcc (open b.c.)120.2688678
hcp (open b.c.)120.2117679
diamond (open b.c.)120.4456680
simple cubic (open b.c.)160.3219,681 0.3339682
bcc (open b.c.)160.2622683
hcp (open b.c.)160.2086684
diamond (open b.c.)160.4415685
simple cubic (open b.c.)320.3219,686
simple cubic (open b.c.)640.3165,687
simple cubic (open b.c.)1280.31398,688

Percolation in 3D

Latticez z ¯ {\displaystyle {\overline {z}}} filling factor*filling fraction*Site percolation thresholdBond percolation threshold
(10,3)-a oxide (or site-bond)68923 322.40.748713(22)690= (pc,bond(10,3) – a)1⁄2 = 0.742334(25)691
(10,3)-b oxide (or site-bond)69223 322.40.2336930.1740.745317(25)694= (pc,bond(10,3) – b)1⁄2 = 0.739388(22)695
silicon dioxide (diamond site-bond)6964,222 2⁄30.638683(35)697
Modified (10,3)-b69832,22 2⁄30.627699
(8,3)-a700330.577962(33)7010.555700(22)702
(10,3)-a703 gyroid704330.571404(40)7050.551060(37)706
(10,3)-b707330.565442(40)7080.546694(33)709
cubic oxide (cubic site-bond)7106,233.50.524652(50)711
bcc dual40.4560(6)7120.4031(6)713
ice Ih44π √3 / 16 = 0.3400870.1470.433(11)7140.388(10)715
diamond (Ice Ic)44π √3 / 16 = 0.3400870.14623320.4299(8),716 0.4299870(4),717 0.426+0.08−0.02,718 0.4297(4) 719 0.4301(4),720 0.428(4),721 0.425(15),722 0.425,723724 0.436(12)7250.3895892(5),726 0.3893(2),727 0.3893(3),728 0.388(5),729 0.3886(5),730 0.388(5)731 0.390(11)732
diamond dual6 2⁄30.3904(5)7330.2350(5)734
3D kagome (covering graph of the diamond lattice)6π √2 / 12 = 0.370240.14420.3895(2)735 =pc(site) for diamond dual and pc(bond) for diamond lattice7360.2709(6)737
Bow-tie stack dual5 1⁄30.3480(4)7380.2853(4)739
honeycomb stack550.3701(2)7400.3093(2)741
octagonal stack dual550.3840(4)7420.3168(4)743
pentagonal stack5 1⁄30.3394(4)7440.2793(4)745
kagome stack660.4534500.15170.3346(4)7460.2563(2)747
fcc dual42,85 1⁄30.3341(5)7480.2703(3)749
simple cubic66π / 6 = 0.52359880.16315740.307(10),750 0.307,751 0.3115(5),752 0.3116077(2),753 0.311604(6),754 0.311605(5),755 0.311600(5),756 0.3116077(4),757 0.3116081(13),758 0.3116080(4),759 0.3116060(48),760 0.3116004(35),761 0.31160768(15)7620.247(5),763 0.2479(4),764 0.2488(2),765 0.24881182(10),766 0.2488125(25),767 0.2488126(5),768
hcp dual44,825 1⁄30.3101(5)7690.2573(3)770
dice stack5,86π √3 / 9 = 0.6046000.18130.2998(4)7710.2378(4)772
bow-tie stack770.2822(6)7730.2092(4)774
Stacked triangular / simple hexagonal880.26240(5),775 0.2625(2),776 0.2623(2)7770.18602(2),778 0.1859(2)779
octagonal (union-jack) stack6,1080.2524(6)7800.1752(2)781
bcc880.243(10),782 0.243,783 0.2459615(10),784 0.2460(3),785 0.2464(7),786 0.2458(2)7870.178(5),788 0.1795(3),789 0.18025(15),790 0.1802875(10)791
simple cubic with 3NN (same as bcc)880.2455(1),792 0.2457(7)793
fcc, D31212π / (3 √2) = 0.7404800.1475300.195,794 0.198(3),795 0.1998(6),796 0.1992365(10),797 0.19923517(20),798 0.1994(2),799 0.199236(4)8000.1198(3),801 0.1201635(10)802 0.120169(2)803
hcp1212π / (3 √2) = 0.7404800.1475450.195(5),804 0.1992555(10)8050.1201640(10),806 0.119(2)807
La2−x Srx Cu O412120.19927(2)808
simple cubic with 2NN (same as fcc)12120.1991(1)809
simple cubic with NN+4NN12120.15040(12),810 0.1503793(7)8110.1068263(7)812
simple cubic with 3NN+4NN14140.20490(12)8130.1012133(7)814
bcc NN+2NN (= sc(3,4) sc-3NN+4NN)14140.175,815 0.1686,(20)816 0.1759432(8)0.0991(5),817 0.1012133(7),818 0.1759432(8) 819
Nanotube fibers on FCC14140.1533(13)820
simple cubic with NN+3NN14140.1420(1)8210.0920213(7)822
simple cubic with 2NN+4NN18180.15950(12)8230.0751589(9)824
simple cubic with NN+2NN18180.137,825 0.136,826 0.1372(1),827 0.13735(5), 0.1373045(5)8280.0752326(6) 829
fcc with NN+2NN (=sc-2NN+4NN)18180.136,830 0.1361408(8)8310.0751589(9) 832
simple cubic with short-length correlation6+6+0.126(1)833
simple cubic with NN+3NN+4NN20200.11920(12)8340.0624379(9)835
simple cubic with 2NN+3NN20200.1036(1)8360.0629283(7)837
simple cubic with NN+2NN+4NN24240.11440(12)8380.0533056(6)839
simple cubic with 2NN+3NN+4NN26260.11330(12)8400.0474609(9)
simple cubic with NN+2NN+3NN26260.097,841 0.0976(1),842 0.0976445(10), 0.0976444(6)8430.0497080(10)844
bcc with NN+2NN+3NN26260.095,845 0.0959084(6)8460.0492760(10)847
simple cubic with NN+2NN+3NN+4NN32320.10000(12),848 0.0801171(9)8490.0392312(8)850
fcc with NN+2NN+3NN42420.061,851 0.0610(5),852 0.0618842(8)8530.0290193(7) 854
fcc with NN+2NN+3NN+4NN54540.0500(5)855
sc-1,2,3,4,5 simple cubic with NN+2NN+3NN+4NN+5NN56560.0461815(5)8560.0210977(7)857
sc-1,...,6 (2x2x2 cube 858)80800.0337049(9),859 0.03373(13)8600.0143950(10)861
sc-1,...,792920.0290800(10)8620.0123632(8)863
sc-1,...,81221220.0218686(6)8640.0091337(7)865
sc-1,...,91461460.0184060(10)8660.0075532(8)867
sc-1,...,101701700.0064352(8)868
sc-1,...,111781780.0061312(8)869
sc-1,...,122022020.0053670(10)870
sc-1,...,132502500.0042962(8)871
3x3x3 cube274274φc= 0.76564(1),872 pc = 0.0098417(7),873 0.009854(6)874
4x4x4 cube636636φc=0.76362(1),875 pc = 0.0042050(2),876 0.004217(3)877
5x5x5 cube12141250φc=0.76044(2),878 pc = 0.0021885(2),879 0.002185(4)880
6x6x6 cube205620560.001289(2)881

Filling factor = fraction of space filled by touching spheres at every lattice site (for systems with uniform bond length only). Also called Atomic Packing Factor.

Filling fraction (or Critical Filling Fraction) = filling factor * pc(site).

NN = nearest neighbor, 2NN = next-nearest neighbor, 3NN = next-next-nearest neighbor, etc.

kxkxk cubes are cubes of occupied sites on a lattice, and are equivalent to extended-range percolation of a cube of length (2k+1), with edges and corners removed, with z = (2k+1)3-12(2k-1)-9 (center site not counted in z).

Question: the bond thresholds for the hcp and fcc lattice agree within the small statistical error. Are they identical, and if not, how far apart are they? Which threshold is expected to be bigger? Similarly for the ice and diamond lattices. See 882

Systempolymer Φc
percolating excluded volume of athermal polymer matrix (bond-fluctuation model on cubic lattice)0.4304(3)883

3D distorted lattices

Here, one distorts a regular lattice of unit spacing by moving vertices uniformly within the cube ( x − α , x + α ) , ( y − α , y + α ) , ( z − α , z + α ) {\displaystyle (x-\alpha ,x+\alpha ),(y-\alpha ,y+\alpha ),(z-\alpha ,z+\alpha )} , and considers percolation when sites are within Euclidean distance d {\displaystyle d} of each other.

Lattice z ¯ {\displaystyle {\overline {z}}} α {\displaystyle \alpha } d {\displaystyle d} Site percolation thresholdBond percolation threshold
cubic0.051.00.60254(3)884
0.11.006250.58688(4)885
0.151.0250.55075(2)886
0.1751.050.50645(5)887
0.21.10.44342(3)888

Overlapping shapes on 3D lattices

Site threshold is the number of overlapping objects per lattice site. The coverage φc is the net fraction of sites covered, and v is the volume (number of cubes). Overlapping cubes are given in the section on thresholds of 3D lattices. Here z is the coordination number to k-mers of either orientation, with z = 6 k 2 + 18 k − 4 {\displaystyle z=6k^{2}+18k-4}

SystemkzSite coverage φcSite percolation threshold pc
1 x 2 dimer, cubic lattice2560.245428890.045847(2)890
1 x 3 trimer, cubic lattice31040.195788910.023919(9)892
1 x 4 stick, cubic lattice41640.160558930.014478(7)894
1 x 5 stick, cubic lattice52360.134888950.009613(8)896
1 x 6 stick, cubic lattice63200.115698970.006807(2)898
2 x 2 plaquette, cubic lattice20.227108990.021238(2)900
3 x 3 plaquette, cubic lattice30.186869010.007632(5)902
4 x 4 plaquette, cubic lattice40.161599030.003665(3)904
5 x 5 plaquette, cubic lattice50.143169050.002058(5)906
6 x 6 plaquette, cubic lattice60.129009070.001278(5)908

The coverage is calculated from p c {\displaystyle p_{c}} by ϕ c = 1 − ( 1 − p c ) 3 k {\displaystyle \phi _{c}=1-(1-p_{c})^{3k}} for sticks, and ϕ c = 1 − ( 1 − p c ) 3 k 2 {\displaystyle \phi _{c}=1-(1-p_{c})^{3k^{2}}} for plaquettes.

Dimer percolation in 3D

SystemSite percolation thresholdBond percolation threshold
Simple cubic0.2555(1)909

Thresholds for 3D continuum models

All overlapping except for jammed spheres and polymer matrix.

SystemΦcηc
Spheres of radius r0.289,910 0.293,911 0.286,912 0.295.913 0.2895(5),914 0.28955(7),915 0.2896(7),916 0.289573(2),917 0.2896,918 0.2854,919 0.290,920 0.290,921 0.2895693(26)9220.3418(7),923 0.3438(13),924 0.341889(3),925 0.3360,926 0.34189(2) 927 [corrected], 0.341935(8),928 0.335,929
Oblate ellipsoids with major radius r and aspect ratio 4⁄30.28319300.3328931
Prolate ellipsoids with minor radius r and aspect ratio 3⁄20.2757,932 0.2795,933 0.27639340.3278935
Oblate ellipsoids with major radius r and aspect ratio 20.2537,936 0.2629,937 0.2549380.3050939
Prolate ellipsoids with minor radius r and aspect ratio 20.2537,940 0.2618,941 0.25(2),942 0.25079430.3035,944 0.29(3)945
Oblate ellipsoids with major radius r and aspect ratio 30.22899460.2599947
Prolate ellipsoids with minor radius r and aspect ratio 30.2033,948 0.2244,949 0.20(2)9500.2541,951 0.22(3)952
Oblate ellipsoids with major radius r and aspect ratio 40.20039530.2235954
Prolate ellipsoids with minor radius r and aspect ratio 40.1901,955 0.16(2)9560.2108,957 0.17(3)958
Oblate ellipsoids with major radius r and aspect ratio 50.17579590.1932960
Prolate ellipsoids with minor radius r and aspect ratio 50.1627,961 0.13(2)9620.1776,963 0.15(2)964
Oblate ellipsoids with major radius r and aspect ratio 100.0895,965 0.10589660.1118967
Prolate ellipsoids with minor radius r and aspect ratio 100.0724,968 0.08703,969 0.07(2)9700.09105,971 0.07(2)972
Oblate ellipsoids with major radius r and aspect ratio 1000.012489730.01256974
Prolate ellipsoids with minor radius r and aspect ratio 1000.0069499750.006973976
Oblate ellipsoids with major radius r and aspect ratio 10000.0012759770.001276978
Oblate ellipsoids with major radius r and aspect ratio 20000.0006379790.000637980
Spherocylinders with H/D = 10.2439(2)981
Spherocylinders with H/D = 40.1345(1)982
Spherocylinders with H/D = 100.06418(20)983
Spherocylinders with H/D = 500.01440(8)984
Spherocylinders with H/D = 1000.007156(50)985
Spherocylinders with H/D = 2000.003724(90)986
Aligned cylinders0.2819(2)9870.3312(1)988
Aligned cubes of side ℓ = 2 a {\displaystyle \ell =2a} 0.2773(2)989 0.27727(2),990 0.27730261(79)9910.3247(3),992 0.3248(3),993 0.32476(4)994 0.324766(1)995
Randomly oriented icosahedra0.3030(5)996
Randomly oriented dodecahedra0.2949(5)997
Randomly oriented octahedra0.2514(6)998
Randomly oriented cubes of side ℓ = 2 a {\displaystyle \ell =2a} 0.2168(2)999 0.2174,10000.2444(3),1001 0.2443(5)1002
Randomly oriented tetrahedra0.1701(7)1003
Randomly oriented disks of radius r (in 3D)0.9614(5)1004
Randomly oriented square plates of side π r {\displaystyle {\sqrt {\pi }}r} 0.8647(6)1005
Randomly oriented triangular plates of side 2 π / 3 1 / 4 r {\displaystyle {\sqrt {2\pi }}/3^{1/4}r} 0.7295(6)1006
Jammed spheres (average z = 6)0.183(3),1007 0.1990,1008 see also contact network of jammed spheres below.0.59(1)1009 (volume fraction of all spheres)

η c = ( 4 / 3 ) π r 3 N / L 3 {\displaystyle \eta _{c}=(4/3)\pi r^{3}N/L^{3}} is the total volume (for spheres), where N is the number of objects and L is the system size.

ϕ c = 1 − e − η c {\displaystyle \phi _{c}=1-e^{-\eta _{c}}} is the critical volume fraction, valid for overlapping randomly placed objects.

For disks and plates, these are effective volumes and volume fractions.

For void ("Swiss-Cheese" model), ϕ c = e − η c {\displaystyle \phi _{c}=e^{-\eta _{c}}} is the critical void fraction.

For more results on void percolation around ellipsoids and elliptical plates, see.1010

For more ellipsoid percolation values see.1011

For spherocylinders, H/D is the ratio of the height to the diameter of the cylinder, which is then capped by hemispheres. Additional values are given in.1012

For superballs, m is the deformation parameter, the percolation values are given in.,10131014 In addition, the thresholds of concave-shaped superballs are also determined in 1015

For cuboid-like particles (superellipsoids), m is the deformation parameter, more percolation values are given in.1016

Void percolation in 3D

Void percolation refers to percolation in the space around overlapping objects. Here ϕ c {\displaystyle \phi _{c}} refers to the fraction of the space occupied by the voids (not of the particles) at the critical point, and is related to η c {\displaystyle \eta _{c}} by ϕ c = e − η c {\displaystyle \phi _{c}=e^{-\eta _{c}}} . η c {\displaystyle \eta _{c}} is defined as in the continuum percolation section above.

SystemΦcηc
Voids around disks of radius r22.86(2)1017
Voids around randomly oriented tetrahedra0.0605(6)1018
Voids around oblate ellipsoids of major radius r and aspect ratio 320.5308(7)10190.63331020
Voids around oblate ellipsoids of major radius r and aspect ratio 160.3248(5)10211.1251022
Voids around oblate ellipsoids of major radius r and aspect ratio 101.542(1)1023
Voids around oblate ellipsoids of major radius r and aspect ratio 80.1615(4)10241.8231025
Voids around oblate ellipsoids of major radius r and aspect ratio 40.0711(2)10262.643,1027 2.618(5)1028
Voids around oblate ellipsoids of major radius r and aspect ratio 23.239(4) 1029
Voids around prolate ellipsoids of aspect ratio 80.0415(7)1030
Voids around prolate ellipsoids of aspect ratio 60.0397(7)1031
Voids around prolate ellipsoids of aspect ratio 40.0376(7)1032
Voids around prolate ellipsoids of aspect ratio 30.03503(50)1033
Voids around prolate ellipsoids of aspect ratio 20.0323(5)1034
Voids around aligned square prisms of aspect ratio 20.0379(5) 1035
Voids around randomly oriented square prisms of aspect ratio 200.0534(4) 1036
Voids around randomly oriented square prisms of aspect ratio 150.0535(4) 1037
Voids around randomly oriented square prisms of aspect ratio 100.0524(5) 1038
Voids around randomly oriented square prisms of aspect ratio 80.0523(6) 1039
Voids around randomly oriented square prisms of aspect ratio 70.0519(3) 1040
Voids around randomly oriented square prisms of aspect ratio 60.0519(5) 1041
Voids around randomly oriented square prisms of aspect ratio 50.0515(7) 1042
Voids around randomly oriented square prisms of aspect ratio 40.0505(7) 1043
Voids around randomly oriented square prisms of aspect ratio 30.0485(11) 1044
Voids around randomly oriented square prisms of aspect ratio 5/20.0483(8) 1045
Voids around randomly oriented square prisms of aspect ratio 20.0465(7) 1046
Voids around randomly oriented square prisms of aspect ratio 3/20.0461(14) 1047
Voids around hemispheres0.0455(6)1048
Voids around aligned tetrahedra0.0605(6)1049
Voids around randomly oriented tetrahedra0.0605(6)1050
Voids around aligned cubes0.036(1),1051 0.0381(3)1052
Voids around randomly oriented cubes0.0452(6),1053 0.0449(5)1054
Voids around aligned octahedra0.0407(3)1055
Voids around randomly oriented octahedra0.0398(5)1056
Voids around aligned dodecahedra0.0356(3)1057
Voids around randomly oriented dodecahedra0.0360(3)1058
Voids around aligned icosahedra0.0346(3)1059
Voids around randomly oriented icosahedra0.0336(7)1060
Voids around spheres0.034(7),1061 0.032(4),1062 0.030(2),1063 0.0301(3),1064 0.0294,1065 0.0300(3),1066 0.0317(4),1067 0.0308(5)1068 0.0301(1),1069 0.0301(1)10703.506(8),1071 3.515(6),1072 3.510(2)1073

Thresholds on 3D random and quasi-lattices

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
Contact network of packed spheres60.310(5),1074 0.287(50),1075 0.3116(3),1076
Random-plane tessellation, dual60.290(7)1077
Icosahedral Penrose60.28510780.2251079
Penrose w/2 diagonals6.7640.27110800.2071081
Penrose w/8 diagonals12.7640.18810820.1111083
Voronoi network15.540.1453(20)10840.0822(50)1085

Thresholds for other 3D models

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdCritical coverage fraction ϕ c {\displaystyle \phi _{c}} Bond percolation threshold
Drilling percolation, simple cubic lattice*660.6345(3),1086 0.6339(5),1087 0.633965(15)10880.25480
Drill in z direction on cubic lattice, remove single sites660.592746 (columns), 0.4695(10) (sites)10890.2784
Random tube model, simple cubic lattice†0.231456(6)1090
Pac-Man percolation, simple cubic lattice0.139(6)1091

∗ {\displaystyle ^{*}} In drilling percolation, the site threshold p c {\displaystyle p_{c}} represents the fraction of columns in each direction that have not been removed, and ϕ c = p c 3 {\displaystyle \phi _{c}=p_{c}^{3}} . For the 1d drilling, we have ϕ c = p c {\displaystyle \phi _{c}=p_{c}} (columns) p c {\displaystyle p_{c}} (sites).

† In tube percolation, the bond threshold represents the value of the parameter μ {\displaystyle \mu } such that the probability of putting a bond between neighboring vertical tube segments is 1 − e − μ h i {\displaystyle 1-e^{-\mu h_{i}}} , where h i {\displaystyle h_{i}} is the overlap height of two adjacent tube segments.1092

Thresholds in different dimensional spaces

Continuum models in higher dimensions

dSystemΦcηc
4Overlapping hyperspheres0.1223(4)10930.1300(13),1094 0.1304(5),1095 0.1210268(19)1096
4Aligned hypercubes0.1132(5),1097 0.1132348(17) 10980.1201(6)1099
4Voids around hyperspheres0.00211(2)11006.161(10)1101 6.248(2),1102
5Overlapping hyperspheres0.0544(6),1103 0.05443(7),1104 0.0522524(69)1105
5Aligned hypercubes0.04900(7),1106 0.0481621(13)11070.05024(7)1108
5Voids around hyperspheres1.26(6)x10−411098.98(4),1110 9.170(8)1111
6Overlapping hyperspheres0.02391(31),1112 0.02339(5)1113
6Aligned hypercubes0.02082(8),1114 0.0213479(10)11150.02104(8)1116
6Voids around hyperspheres8.0(6)x10−6 111711.74(8),1118 12.24(2),1119
7Overlapping hyperspheres0.01102(16),1120 0.01051(3)1121
7Aligned hypercubes0.00999(5),1122 0.0097754(31)11230.01004(5)1124
7Voids around hyperspheres15.46(5)1125
8Overlapping hyperspheres0.00516(8),1126 0.004904(6)1127
8Aligned hypercubes0.004498(5)1128
8Voids around hyperspheres18.64(8)1129
9Overlapping hyperspheres0.002353(4)1130
9Aligned hypercubes0.002166(4)1131
9Voids around hyperspheres22.1(4)1132
10Overlapping hyperspheres0.001138(3)1133
10Aligned hypercubes0.001058(4)1134
11Overlapping hyperspheres0.0005530(3)1135
11Aligned hypercubes0.0005160(3)1136

η c = ( π d / 2 / Γ [ d / 2 + 1 ] ) r d N / L d . {\displaystyle \eta _{c}=(\pi ^{d/2}/\Gamma [d/2+1])r^{d}N/L^{d}.}

In 4d, η c = ( 1 / 2 ) π 2 r 4 N / L 4 {\displaystyle \eta _{c}=(1/2)\pi ^{2}r^{4}N/L^{4}} .

In 5d, η c = ( 8 / 15 ) π 2 r 5 N / L 5 {\displaystyle \eta _{c}=(8/15)\pi ^{2}r^{5}N/L^{5}} .

In 6d, η c = ( 1 / 6 ) π 3 r 6 N / L 6 {\displaystyle \eta _{c}=(1/6)\pi ^{3}r^{6}N/L^{6}} .

ϕ c = 1 − e − η c {\displaystyle \phi _{c}=1-e^{-\eta _{c}}} is the critical volume fraction, valid for overlapping objects.

For void models, ϕ c = e − η c {\displaystyle \phi _{c}=e^{-\eta _{c}}} is the critical void fraction, and η c {\displaystyle \eta _{c}} is the total volume of the overlapping objects

Thresholds on hypercubic lattices

dzSite thresholdsBond thresholds
480.198(1)1137 0.197(6),1138 0.1968861(14),1139 0.196889(3),1140 0.196901(5),1141 0.19680(23),1142 0.1968904(65),1143 0.19688561(3)11440.1600(1),1145 0.16005(15),1146 0.1601314(13),1147 0.160130(3),1148 0.1601310(10),1149 0.1601312(2),1150 0.16013122(6)1151
5100.141(1),0.198(1)1152 0.141(3),1153 0.1407966(15),1154 0.1407966(26),1155 0.14079633(4)11560.1181(1),1157 0.118(1),1158 0.11819(4),1159 0.118172(1),1160 0.1181718(3)1161 0.11817145(3)1162
6120.106(1),1163 0.108(3),1164 0.109017(2),1165 0.1090117(30),1166 0.109016661(8)11670.0943(1),1168 0.0942(1),1169 0.0942019(6),1170 0.09420165(2)1171
7140.05950(5),1172 0.088939(20),1173 0.0889511(9),1174 0.0889511(90),1175 0.088951121(1),11760.0787(1),1177 0.078685(30),1178 0.0786752(3),1179 0.078675230(2)1180
8160.0752101(5),1181 0.075210128(1)11820.06770(5),1183 0.06770839(7),1184 0.0677084181(3)1185
9180.0652095(3),1186 0.0652095348(6)11870.05950(5),1188 0.05949601(5),1189 0.0594960034(1)1190
10200.0575930(1),1191 0.0575929488(4)11920.05309258(4),1193 0.0530925842(2)1194
11220.05158971(8),1195 0.0515896843(2)11960.04794969(1),1197 0.04794968373(8)1198
12240.04673099(6),1199 0.0467309755(1)12000.04372386(1),1201 0.04372385825(10)1202
13260.04271508(8),1203 0.04271507960(10)12040.04018762(1),1205 0.04018761703(6)1206

For thresholds on high dimensional hypercubic lattices, we have the asymptotic series expansions 1207 1208 1209

p c s i t e ( d ) = σ − 1 + 3 2 σ − 2 + 15 4 σ − 3 + 83 4 σ − 4 + 6577 48 σ − 5 + 119077 96 σ − 6 + O ( σ − 7 ) {\displaystyle p_{c}^{\mathrm {site} }(d)=\sigma ^{-1}+{\frac {3}{2}}\sigma ^{-2}+{\frac {15}{4}}\sigma ^{-3}+{\frac {83}{4}}\sigma ^{-4}+{\frac {6577}{48}}\sigma ^{-5}+{\frac {119077}{96}}\sigma ^{-6}+{\mathcal {O}}(\sigma ^{-7})}

p c b o n d ( d ) = σ − 1 + 5 2 σ − 3 + 15 2 σ − 4 + 57 σ − 5 + 4855 12 σ − 6 + O ( σ − 7 ) {\displaystyle p_{c}^{\mathrm {bond} }(d)=\sigma ^{-1}+{\frac {5}{2}}\sigma ^{-3}+{\frac {15}{2}}\sigma ^{-4}+57\sigma ^{-5}+{\frac {4855}{12}}\sigma ^{-6}+{\mathcal {O}}(\sigma ^{-7})}

where σ = 2 d − 1 {\displaystyle \sigma =2d-1} . For 13-dimensional bond percolation, for example, the error with the measured value is less than 10−6, and these formulas can be useful for higher-dimensional systems.

Thresholds in other higher-dimensional lattices

dlatticezSite thresholdsBond thresholds
4diamond50.2978(2)12100.2715(3)1211
4kagome80.2715(3)12120.177(1) 1213
4bcc160.1037(3)12140.074(1),1215 0.074212(1)1216
4fcc, D4, hypercubic 2NN240.0842(3),1217 0.08410(23),1218 0.0842001(11)12190.049(1),1220 0.049517(1),1221 0.0495193(8)1222
4hypercubic NN+2NN320.06190(23),1223 0.0617731(19)12240.035827(1),1225 0.0338047(27)1226
4hypercubic 3NN320.04540(23)1227
4hypercubic NN+3NN400.04000(23)12280.0271892(22)1229
4hypercubic 2NN+3NN560.03310(23)12300.0194075(15)1231
4hypercubic NN+2NN+3NN640.03190(23),1232 0.0319407(13)12330.0171036(11)1234
4hypercubic NN+2NN+3NN+4NN880.0231538(12)12350.0122088(8)1236
4hypercubic NN+...+5NN1360.0147918(12)12370.0077389(9)1238
4hypercubic NN+...+6NN2320.0088400(10)12390.0044656(11)1240
4hypercubic NN+...+7NN2960.0070006(6)12410.0034812(7)1242
4hypercubic NN+...+8NN3200.0064681(9)12430.0032143(8)1244
4hypercubic NN+...+9NN4240.0048301(9)12450.0024117(7)1246
5diamond60.2252(3)12470.2084(4)1248
5kagome100.2084(4)12490.130(2)1250
5bcc320.0446(4)12510.033(1)1252
5fcc, D5, hypercubic 2NN400.0431(3),1253 0.0435913(6)12540.026(2),1255 0.0271813(2)1256
5hypercubic NN+2NN500.0334(2)12570.0213(1)1258
6diamond70.1799(5)12590.1677(7)1260
6kagome120.1677(7)1261
6fcc, D6600.0252(5),1262 0.02602674(12)12630.01741556(5)1264
6bcc640.0199(5)1265
6E61266720.02194021(14)12670.01443205(8)1268
7fcc, D7840.01716730(5)12690.012217868(13)1270
7E712711260.01162306(4)12720.00808368(2)1273
8fcc, D81120.01215392(4)12740.009081804(6)1275
8E812762400.00576991(2)12770.004202070(2)1278
9fcc, D91440.00905870(2)12790.007028457(3)1280
9 Λ 9 {\displaystyle \Lambda _{9}} 12812720.00480839(2)12820.0037006865(11)1283
10fcc, D101800.007016353(9)12840.005605579(6)1285
11fcc, D112200.005597592(4)12860.004577155(3)1287
12fcc, D122640.004571339(4)12880.003808960(2)1289
13fcc, D133120.003804565(3)12900.0032197013(14)1291

Thresholds in one-dimensional long-range percolation

In a one-dimensional chain we establish bonds between distinct sites i {\displaystyle i} and j {\displaystyle j} with probability p = C | i − j | 1 + σ {\displaystyle p={\frac {C}{|i-j|^{1+\sigma }}}} decaying as a power-law with an exponent σ > 0 {\displaystyle \sigma >0} . Percolation occurs12921293 at a critical value C c < 1 {\displaystyle C_{c}<1} for σ < 1 {\displaystyle \sigma <1} . The numerically determined percolation thresholds are given by:1294

σ {\displaystyle \sigma } C c {\displaystyle C_{c}} Critical thresholds C c {\displaystyle C_{c}} as a function of σ {\displaystyle \sigma } .1295The dotted line is the rigorous lower bound.1296
0.10.047685(8)
0.20.093211(16)
0.30.140546(17)
0.40.193471(15)
0.50.25482(5)
0.60.327098(6)
0.70.413752(14)
0.80.521001(14)
0.90.66408(7)

Thresholds on hyperbolic, hierarchical, and tree lattices

In these lattices there may be two percolation thresholds: the lower threshold is the probability above which infinite clusters appear, and the upper is the probability above which there is a unique infinite cluster.

Latticez z ¯ {\displaystyle {\overline {z}}} Site percolation thresholdBond percolation threshold
LowerUpperLowerUpper
{3,7} hyperbolic770.26931171(7),1297 0.2012980.73068829(7),1299 0.73(2)13000.20,1301 0.1993505(5)13020.37,1303 0.4694754(8)1304
{3,8} hyperbolic880.20878618(9)13050.79121382(9)13060.1601555(2)13070.4863559(6)1308
{3,9} hyperbolic990.1715770(1)13090.8284230(1)13100.1355661(4)13110.4932908(1)1312
{4,5} hyperbolic550.29890539(6)13130.8266384(5)13140.27,1315 0.2689195(3)13160.52,1317 0.6487772(3) 1318
{4,6} hyperbolic660.22330172(3)13190.87290362(7)13200.20714787(9)13210.6610951(2)1322
{4,7} hyperbolic770.17979594(1)13230.89897645(3)13240.17004767(3)13250.66473420(4)1326
{4,8} hyperbolic880.151035321(9)13270.91607962(7)13280.14467876(3)13290.66597370(3)1330
{4,9} hyperbolic880.13045681(3)13310.92820305(3)13320.1260724(1)13330.66641596(2)1334
{5,5} hyperbolic550.26186660(5)13350.89883342(7)13360.263(10),1337 0.25416087(3)13380.749(10)1339 0.74583913(3)1340
{7,3} hyperbolic330.54710885(10)13410.8550371(5),1342 0.86(2)13430.53,1344 0.551(10),1345 0.5305246(8)13460.72,1347 0.810(10),1348 0.8006495(5)1349
{∞,3} Cayley tree331⁄21⁄2135011351
Enhanced binary tree (EBT)0.304(1),1352 0.306(10),1353 (√13 − 3)/2 = 0.30277613540.48,1355 0.564(1),1356 0.564(10),1357 1⁄21358
Enhanced binary tree dual0.436(1),1359 0.452(10)13600.696(1),1361 0.699(10)1362
Non-Planar Hanoi Network (HN-NP)0.31944513630.3819961364
Cayley tree with grandparents80.1586563261365

Note: {m,n} is the Schläfli symbol, signifying a hyperbolic lattice in which n regular m-gons meet at every vertex

For bond percolation on {P,Q}, we have by duality p c , ℓ ( P , Q ) + p c , u ( Q , P ) = 1 {\displaystyle p_{c,\ell }(P,Q)+p_{c,u}(Q,P)=1} . For site percolation, p c , ℓ ( 3 , Q ) + p c , u ( 3 , Q ) = 1 {\displaystyle p_{c,\ell }(3,Q)+p_{c,u}(3,Q)=1} because of the self-matching of triangulated lattices.

Cayley tree (Bethe lattice) with coordination number z : p c = 1 / ( z − 1 ) {\displaystyle z:p_{c}=1/(z-1)}

Thresholds for directed percolation

LatticezSite percolation thresholdBond percolation threshold
(1+1)-d honeycomb1.50.8399316(2),1366 0.839933(5),1367 = p c ( s i t e ) {\displaystyle ={\sqrt {p_{c}({\mathrm {site} })}}} of (1+1)-d sq.0.8228569(2),1368 0.82285680(6)1369
(1+1)-d kagome20.7369317(2),1370 0.73693182(4)13710.6589689(2),1372 0.65896910(8)1373
(1+1)-d square, diagonal20.705489(4),1374 0.705489(4),1375 0.70548522(4),1376 0.70548515(20),1377 0.7054852(3),13780.644701(2),1379 0.644701(1),1380 0.644701(1),1381 0.6447006(10),1382 0.64470015(5),1383 0.644700185(5),1384 0.6447001(2),1385 0.643(2)1386
(1+1)-d triangular30.595646(3),1387 0.5956468(5),1388 0.5956470(3)13890.478018(2),1390 0.478025(1),1391 0.4780250(4)1392 0.479(3)1393
(2+1)-d simple cubic, diagonal planes30.43531(1),1394 0.43531411(10)13950.382223(7),1396 0.38222462(6)1397 0.383(3)1398
(2+1)-d square nn (= bcc)40.3445736(3),1399 0.344575(15)1400 0.3445740(2)14010.2873383(1),1402 0.287338(3)1403 0.28733838(4)1404 0.287(3)1405
(2+1)-d fcc0.199(2))1406
(3+1)-d hypercubic, diagonal40.3025(10),1407 0.30339538(5) 14080.26835628(5),1409 0.2682(2)1410
(3+1)-d cubic, nn60.2081040(4)14110.1774970(5)1412
(3+1)-d bcc80.160950(30),1413 0.16096128(3)14140.13237417(2)1415
(4+1)-d hypercubic, diagonal50.23104686(3)14160.20791816(2),1417 0.2085(2)1418
(4+1)-d hypercubic, nn80.1461593(2),1419 0.1461582(3)14200.1288557(5)1421
(4+1)-d bcc160.075582(17),1422 0.0755850(3),1423 0.07558515(1)14240.063763395(5)1425
(5+1)-d hypercubic, diagonal60.18651358(2)14260.170615155(5),1427 0.1714(1) 1428
(5+1)-d hypercubic, nn100.1123373(2)14290.1016796(5)1430
(5+1)-d hypercubic bcc320.035967(23),1431 0.035972540(3)14320.0314566318(5)1433
(6+1)-d hypercubic, diagonal70.15654718(1)14340.145089946(3),1435 0.14581436
(6+1)-d hypercubic, nn120.0913087(2)14370.0841997(14)1438
(6+1)-d hypercubic bcc640.017333051(2)14390.01565938296(10)1440
(7+1)-d hypercubic, diagonal80.135004176(10)14410.126387509(3),1442 0.1270(1) 1443
(7+1)-d hypercubic,nn140.07699336(7)14440.07195(5)1445
(7+1)-d bcc1280.008 432 989(2)14460.007 818 371 82(6)1447

nn = nearest neighbors. For a (d + 1)-dimensional hypercubic system, the hypercube is in d dimensions and the time direction points to the 2D nearest neighbors.

Directed percolation with multiple neighbors

(1+1)-d square with z NN, square lattice for z odd, tilted square lattice for z even

LatticezSite percolation thresholdBond percolation threshold
(1+1)-d square30.4395(3),1448
(1+1)-d square50.2249(3)1449
(1+1)-d square70.1470(2)1450
(1+1)-d square90.1081(2)1451
(1+1)-d square110.0851(2)1452
(1+1)-d square130.0701(2)1453
(1+1)-d tilted sq20.6447(2)1454
(1+1)-d tilted sq40.3272(2)1455
(1+1)-d tilted sq60.2121(3)1456
(1+1)-d tilted sq80.1553(3)1457
(1+1)-d tilted sq100.1220(2)1458
(1+1)-d tilted sq120.0999(2)1459

For large z, pc ~ 1/z 1460

Site-Bond Directed Percolation

p_b = bond threshold

p_s = site threshold

Site-bond percolation is equivalent to having different probabilities of connections:

P_0 = probability that no sites are connected

P_2 = probability that exactly one descendant is connected to the upper vertex (two connected together)

P_3 = probability that both descendants are connected to the original vertex (all three connected together)

Formulas:

P_0 = (1-p_s) + p_s(1-p_b)^2

P_2 = p_s p_b (1-p_b)

P_3 = p_s p_b^2

P_0 + 2P_2 + P_3 = 1

Latticezp_sp_bP_0P_2P_3
(1+1)-d square 146130.64470110.1262370.2290620.415639
0.70.935850.1483760.1965290.458567
0.750.885650.1697030.1660590.498178
0.80.841350.1923040.1346160.538464
0.850.801900.2161430.1022420.579373
0.90.766450.2412150.0689810.620825
0.950.734500.2673360.0348890.662886
10.7054890.29451100.705489

Exact critical manifolds of inhomogeneous systems

Inhomogeneous triangular lattice bond percolation1462

1 − p 1 − p 2 − p 3 + p 1 p 2 p 3 = 0 {\displaystyle 1-p_{1}-p_{2}-p_{3}+p_{1}p_{2}p_{3}=0}

Inhomogeneous honeycomb lattice bond percolation = kagome lattice site percolation1463

1 − p 1 p 2 − p 1 p 3 − p 2 p 3 + p 1 p 2 p 3 = 0 {\displaystyle 1-p_{1}p_{2}-p_{1}p_{3}-p_{2}p_{3}+p_{1}p_{2}p_{3}=0}

Inhomogeneous (3,12^2) lattice, site percolation14641465

1 − 3 ( s 1 s 2 ) 2 + ( s 1 s 2 ) 3 = 0 , {\displaystyle 1-3(s_{1}s_{2})^{2}+(s_{1}s_{2})^{3}=0,} or s 1 s 2 = 1 − 2 sin ⁡ ( π / 18 ) {\displaystyle s_{1}s_{2}=1-2\sin(\pi /18)}

Inhomogeneous union-jack lattice, site percolation with probabilities p 1 , p 2 , p 3 , p 4 {\displaystyle p_{1},p_{2},p_{3},p_{4}} 1466

p 3 = 1 − p 1 ; p 4 = 1 − p 2 {\displaystyle p_{3}=1-p_{1};\qquad p_{4}=1-p_{2}}

Inhomogeneous martini lattice, bond percolation14671468

1 − ( p 1 p 2 r 3 + p 2 p 3 r 1 + p 1 p 3 r 2 ) − ( p 1 p 2 r 1 r 2 + p 1 p 3 r 1 r 3 + p 2 p 3 r 2 r 3 ) + p 1 p 2 p 3 ( r 1 r 2 + r 1 r 3 + r 2 r 3 ) + r 1 r 2 r 3 ( p 1 p 2 + p 1 p 3 + p 2 p 3 ) − 2 p 1 p 2 p 3 r 1 r 2 r 3 = 0 {\displaystyle 1-(p_{1}p_{2}r_{3}+p_{2}p_{3}r_{1}+p_{1}p_{3}r_{2})-(p_{1}p_{2}r_{1}r_{2}+p_{1}p_{3}r_{1}r_{3}+p_{2}p_{3}r_{2}r_{3})+p_{1}p_{2}p_{3}(r_{1}r_{2}+r_{1}r_{3}+r_{2}r_{3})+r_{1}r_{2}r_{3}(p_{1}p_{2}+p_{1}p_{3}+p_{2}p_{3})-2p_{1}p_{2}p_{3}r_{1}r_{2}r_{3}=0}

Inhomogeneous martini lattice, site percolation. r = site in the star

1 − r ( p 1 p 2 + p 1 p 3 + p 2 p 3 − p 1 p 2 p 3 ) = 0 {\displaystyle 1-r(p_{1}p_{2}+p_{1}p_{3}+p_{2}p_{3}-p_{1}p_{2}p_{3})=0}

Inhomogeneous martini-A (3–7) lattice, bond percolation. Left side (top of "A" to bottom): r 2 ,   p 1 {\displaystyle r_{2},\ p_{1}} . Right side: r 1 ,   p 2 {\displaystyle r_{1},\ p_{2}} . Cross bond:   r 3 {\displaystyle \ r_{3}} .

1 − p 1 r 2 − p 2 r 1 − p 1 p 2 r 3 − p 1 r 1 r 3 − p 2 r 2 r 3 + p 1 p 2 r 1 r 3 + p 1 p 2 r 2 r 3 + p 1 r 1 r 2 r 3 + p 2 r 1 r 2 r 3 − p 1 p 2 r 1 r 2 r 3 = 0 {\displaystyle 1-p_{1}r_{2}-p_{2}r_{1}-p_{1}p_{2}r_{3}-p_{1}r_{1}r_{3}-p_{2}r_{2}r_{3}+p_{1}p_{2}r_{1}r_{3}+p_{1}p_{2}r_{2}r_{3}+p_{1}r_{1}r_{2}r_{3}+p_{2}r_{1}r_{2}r_{3}-p_{1}p_{2}r_{1}r_{2}r_{3}=0}

Inhomogeneous martini-B (3–5) lattice, bond percolation

Inhomogeneous martini lattice with outside enclosing triangle of bonds, probabilities y , x , z {\displaystyle y,x,z} from inside to outside, bond percolation1469

1 − 3 z + z 3 − ( 1 − z 2 ) [ 3 x 2 y ( 1 + y − y 2 ) ( 1 + z ) + x 3 y 2 ( 3 − 2 y ) ( 1 + 2 z ) ] = 0 {\displaystyle 1-3z+z^{3}-(1-z^{2})[3x^{2}y(1+y-y^{2})(1+z)+x^{3}y^{2}(3-2y)(1+2z)]=0}

Inhomogeneous checkerboard lattice, bond percolation14701471

1 − ( p 1 p 2 + p 1 p 3 + p 1 p 4 + p 2 p 3 + p 2 p 4 + p 3 p 4 ) + p 1 p 2 p 3 + p 1 p 2 p 4 + p 1 p 3 p 4 + p 2 p 3 p 4 = 0 {\displaystyle 1-(p_{1}p_{2}+p_{1}p_{3}+p_{1}p_{4}+p_{2}p_{3}+p_{2}p_{4}+p_{3}p_{4})+p_{1}p_{2}p_{3}+p_{1}p_{2}p_{4}+p_{1}p_{3}p_{4}+p_{2}p_{3}p_{4}=0}

Inhomogeneous bow-tie lattice, bond percolation14721473

1 − ( p 1 p 2 + p 1 p 3 + p 1 p 4 + p 2 p 3 + p 2 p 4 + p 3 p 4 ) + p 1 p 2 p 3 + p 1 p 2 p 4 + p 1 p 3 p 4 + p 2 p 3 p 4 − u ( 1 − p 1 p 2 − p 3 p 4 + p 1 p 2 p 3 p 4 ) = 0 {\displaystyle 1-(p_{1}p_{2}+p_{1}p_{3}+p_{1}p_{4}+p_{2}p_{3}+p_{2}p_{4}+p_{3}p_{4})+p_{1}p_{2}p_{3}+p_{1}p_{2}p_{4}+p_{1}p_{3}p_{4}+p_{2}p_{3}p_{4}-u(1-p_{1}p_{2}-p_{3}p_{4}+p_{1}p_{2}p_{3}p_{4})=0}

where p 1 , p 2 , p 3 , p 4 {\displaystyle p_{1},p_{2},p_{3},p_{4}} are the four bonds around the square and u {\displaystyle u} is the diagonal bond connecting the vertex between bonds p 4 , p 1 {\displaystyle p_{4},p_{1}} and p 2 , p 3 {\displaystyle p_{2},p_{3}} .

See also

References

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  7. Parviainen, Robert (2007). "Estimation of bond percolation thresholds on the Archimedean lattices". Journal of Physics A. 40 (31): 9253–9258. arXiv:0704.2098. Bibcode:2007JPhA...40.9253P. doi:10.1088/1751-8113/40/31/005. S2CID 680787. /wiki/ArXiv_(identifier)

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  949. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

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  951. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

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  953. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

  954. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

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  957. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

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  959. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

  960. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

  961. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

  962. Yi, Y.-B.; A. M. Sastry (2004). "Analytical approximation of the percolation threshold for overlapping ellipsoids of revolution". Proc. R. Soc. Lond. A. 460 (2048): 2353–2380. Bibcode:2004RSPSA.460.2353Y. doi:10.1098/rspa.2004.1279. S2CID 2475482. /wiki/Bibcode_(identifier)

  963. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

  964. Yi, Y.-B.; A. M. Sastry (2004). "Analytical approximation of the percolation threshold for overlapping ellipsoids of revolution". Proc. R. Soc. Lond. A. 460 (2048): 2353–2380. Bibcode:2004RSPSA.460.2353Y. doi:10.1098/rspa.2004.1279. S2CID 2475482. /wiki/Bibcode_(identifier)

  965. Lin, Jianjun; Chen, Huisu; Xu, Wenxiang (2018). "Geometrical percolation threshold of congruent cuboidlike particles in overlapping particle systems". Physical Review E. 98 (1): 012134. Bibcode:2018PhRvE..98a2134L. doi:10.1103/PhysRevE.98.012134. PMID 30110832. S2CID 52017287. /wiki/Bibcode_(identifier)

  966. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

  967. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

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  971. Garboczi, E. J.; K. A. Snyder; J. F. Douglas (1995). "Geometrical percolation threshold of overlapping ellipsoids". Physical Review E. 52 (1): 819–827. Bibcode:1995PhRvE..52..819G. doi:10.1103/PhysRevE.52.819. PMID 9963485. https://zenodo.org/record/1233793

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  982. Xu, Wenxiang; Xianglong Su; Yang Jiao (2016). "Continuum percolation of congruent overlapping spherocylinders". Physical Review E. 93 (3): 032122. Bibcode:2016PhRvE..94c2122X. doi:10.1103/PhysRevE.94.032122. PMID 27078307. /wiki/Bibcode_(identifier)

  983. Xu, Wenxiang; Xianglong Su; Yang Jiao (2016). "Continuum percolation of congruent overlapping spherocylinders". Physical Review E. 93 (3): 032122. Bibcode:2016PhRvE..94c2122X. doi:10.1103/PhysRevE.94.032122. PMID 27078307. /wiki/Bibcode_(identifier)

  984. Xu, Wenxiang; Xianglong Su; Yang Jiao (2016). "Continuum percolation of congruent overlapping spherocylinders". Physical Review E. 93 (3): 032122. Bibcode:2016PhRvE..94c2122X. doi:10.1103/PhysRevE.94.032122. PMID 27078307. /wiki/Bibcode_(identifier)

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  986. Xu, Wenxiang; Xianglong Su; Yang Jiao (2016). "Continuum percolation of congruent overlapping spherocylinders". Physical Review E. 93 (3): 032122. Bibcode:2016PhRvE..94c2122X. doi:10.1103/PhysRevE.94.032122. PMID 27078307. /wiki/Bibcode_(identifier)

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  1151. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1152. Kirkpatrick, Scott (1976). "Percolation phenomena in higher dimensions: Approach to the mean-field limit". Physical Review Letters. 36 (2): 69–72. Bibcode:1976PhRvL..36...69K. doi:10.1103/PhysRevLett.36.69. /wiki/Bibcode_(identifier)

  1153. Gaunt, D. S.; Sykes, M. F.; Ruskin, Heather (1976). "Percolation processes in d-dimensions". J. Phys. A: Math. Gen. 9 (11): 1899–1911. Bibcode:1976JPhA....9.1899G. doi:10.1088/0305-4470/9/11/015. /wiki/Bibcode_(identifier)

  1154. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1155. Koza, Zbigniew; Jakub Poła (2016). "From discrete to continuous percolation in dimensions 3 to 7". Journal of Statistical Mechanics: Theory and Experiment. 2016 (10): 103206. arXiv:1606.08050. Bibcode:2016JSMTE..10.3206K. doi:10.1088/1742-5468/2016/10/103206. S2CID 118580056. /wiki/ArXiv_(identifier)

  1156. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1157. Harris, A. B.; Fisch, R. (1977). "Critical Behavior of Random Resistor Networks". Physical Review Letters. 38 (15): 796–799. Bibcode:1977PhRvL..38..796H. doi:10.1103/PhysRevLett.38.796. https://link.aps.org/doi/10.1103/PhysRevLett.38.796

  1158. Gaunt, D. S.; Ruskin, Heather (1978). "Bond percolation processes in d-dimensions". J. Phys. A: Math. Gen. 11 (7): 1369. Bibcode:1978JPhA...11.1369G. doi:10.1088/0305-4470/11/7/025. /wiki/Bibcode_(identifier)

  1159. Adler, Joan; Yigal Meir; Amnon Aharony; A. B. Harris; Lior Klein (1990). "Low-Concentration Series in General Dimension". Journal of Statistical Physics. 58 (3/4): 511–538. Bibcode:1990JSP....58..511A. doi:10.1007/BF01112760. S2CID 122109020. /wiki/Bibcode_(identifier)

  1160. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1161. Dammer, Stephan M; Haye Hinrichsen (2004). "Spreading with immunization in high dimensions". Journal of Statistical Mechanics: Theory and Experiment. 2004 (7): P07011. arXiv:cond-mat/0405577. Bibcode:2004JSMTE..07..011D. doi:10.1088/1742-5468/2004/07/P07011. S2CID 118981083. /wiki/ArXiv_(identifier)

  1162. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1163. Kirkpatrick, Scott (1976). "Percolation phenomena in higher dimensions: Approach to the mean-field limit". Physical Review Letters. 36 (2): 69–72. Bibcode:1976PhRvL..36...69K. doi:10.1103/PhysRevLett.36.69. /wiki/Bibcode_(identifier)

  1164. Gaunt, D. S.; Sykes, M. F.; Ruskin, Heather (1976). "Percolation processes in d-dimensions". J. Phys. A: Math. Gen. 9 (11): 1899–1911. Bibcode:1976JPhA....9.1899G. doi:10.1088/0305-4470/9/11/015. /wiki/Bibcode_(identifier)

  1165. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1166. Koza, Zbigniew; Jakub Poła (2016). "From discrete to continuous percolation in dimensions 3 to 7". Journal of Statistical Mechanics: Theory and Experiment. 2016 (10): 103206. arXiv:1606.08050. Bibcode:2016JSMTE..10.3206K. doi:10.1088/1742-5468/2016/10/103206. S2CID 118580056. /wiki/ArXiv_(identifier)

  1167. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1168. Harris, A. B.; Fisch, R. (1977). "Critical Behavior of Random Resistor Networks". Physical Review Letters. 38 (15): 796–799. Bibcode:1977PhRvL..38..796H. doi:10.1103/PhysRevLett.38.796. https://link.aps.org/doi/10.1103/PhysRevLett.38.796

  1169. Adler, Joan; Yigal Meir; Amnon Aharony; A. B. Harris (1990). "Series Study of Percolation Moments in General Dimension". Physical Review B. 41 (13): 9183–9206. Bibcode:1990PhRvB..41.9183A. doi:10.1103/PhysRevB.41.9183. PMID 9993262. https://repository.upenn.edu/physics_papers/368

  1170. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1171. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1172. Adler, Joan; Yigal Meir; Amnon Aharony; A. B. Harris (1990). "Series Study of Percolation Moments in General Dimension". Physical Review B. 41 (13): 9183–9206. Bibcode:1990PhRvB..41.9183A. doi:10.1103/PhysRevB.41.9183. PMID 9993262. https://repository.upenn.edu/physics_papers/368

  1173. Stauffer, Dietrich; Robert M. Ziff (1999). "Reexamination of Seven-Dimensional Site Percolation Thresholds". International Journal of Modern Physics C. 11 (1): 205–209. arXiv:cond-mat/9911090. Bibcode:2000IJMPC..11..205S. doi:10.1142/S0129183100000183. S2CID 119362011. /wiki/ArXiv_(identifier)

  1174. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1175. Koza, Zbigniew; Jakub Poła (2016). "From discrete to continuous percolation in dimensions 3 to 7". Journal of Statistical Mechanics: Theory and Experiment. 2016 (10): 103206. arXiv:1606.08050. Bibcode:2016JSMTE..10.3206K. doi:10.1088/1742-5468/2016/10/103206. S2CID 118580056. /wiki/ArXiv_(identifier)

  1176. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1177. Harris, A. B.; Fisch, R. (1977). "Critical Behavior of Random Resistor Networks". Physical Review Letters. 38 (15): 796–799. Bibcode:1977PhRvL..38..796H. doi:10.1103/PhysRevLett.38.796. https://link.aps.org/doi/10.1103/PhysRevLett.38.796

  1178. Adler, Joan; Yigal Meir; Amnon Aharony; A. B. Harris (1990). "Series Study of Percolation Moments in General Dimension". Physical Review B. 41 (13): 9183–9206. Bibcode:1990PhRvB..41.9183A. doi:10.1103/PhysRevB.41.9183. PMID 9993262. https://repository.upenn.edu/physics_papers/368

  1179. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1180. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1181. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1182. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1183. Adler, Joan; Yigal Meir; Amnon Aharony; A. B. Harris (1990). "Series Study of Percolation Moments in General Dimension". Physical Review B. 41 (13): 9183–9206. Bibcode:1990PhRvB..41.9183A. doi:10.1103/PhysRevB.41.9183. PMID 9993262. https://repository.upenn.edu/physics_papers/368

  1184. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1185. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1186. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1187. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1188. Adler, Joan; Yigal Meir; Amnon Aharony; A. B. Harris (1990). "Series Study of Percolation Moments in General Dimension". Physical Review B. 41 (13): 9183–9206. Bibcode:1990PhRvB..41.9183A. doi:10.1103/PhysRevB.41.9183. PMID 9993262. https://repository.upenn.edu/physics_papers/368

  1189. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1190. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1191. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1192. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1193. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1194. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1195. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1196. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1197. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1198. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1199. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1200. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1201. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1202. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1203. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1204. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1205. Grassberger, Peter (2003). "Critical percolation in high dimensions". Physical Review E. 67 (3): 4. arXiv:cond-mat/0202144. Bibcode:2003PhRvE..67c6101G. doi:10.1103/PhysRevE.67.036101. PMID 12689126. S2CID 43707822. /wiki/ArXiv_(identifier)

  1206. Mertens, Stephan; Christopher Moore (2018). "Percolation Thresholds and Fisher Exponents in Hypercubic Lattices". Physical Review E. 98 (2): 022120. arXiv:1806.08067. Bibcode:2018PhRvE..98b2120M. doi:10.1103/PhysRevE.98.022120. PMID 30253462. S2CID 52821851. /wiki/ArXiv_(identifier)

  1207. Gaunt, D. S.; Sykes, M. F.; Ruskin, Heather (1976). "Percolation processes in d-dimensions". J. Phys. A: Math. Gen. 9 (11): 1899–1911. Bibcode:1976JPhA....9.1899G. doi:10.1088/0305-4470/9/11/015. /wiki/Bibcode_(identifier)

  1208. Gaunt, D. S.; Ruskin, Heather (1978). "Bond percolation processes in d-dimensions". J. Phys. A: Math. Gen. 11 (7): 1369. Bibcode:1978JPhA...11.1369G. doi:10.1088/0305-4470/11/7/025. /wiki/Bibcode_(identifier)

  1209. Mertens, Stephan; Moore, Christopher (2018). "Series Expansion of Critical Densities for Percolation on ℤd". J. Phys. A: Math. Theor. 51 (47): 475001. arXiv:1805.02701. doi:10.1088/1751-8121/aae65c. S2CID 119399128. /wiki/ArXiv_(identifier)

  1210. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1211. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1212. van der Marck, Steven C. (1998). "Site percolation and random walks on d-dimensional Kagome lattices". Journal of Physics A. 31 (15): 3449–3460. arXiv:cond-mat/9801112. Bibcode:1998JPhA...31.3449V. doi:10.1088/0305-4470/31/15/010. S2CID 18989583. /wiki/ArXiv_(identifier)

  1213. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1214. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1215. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1216. Xun, Zhipeng (2020). "Precise bond percolation thresholds on several four-dimensional lattices". Physical Review Research. 2 (1): 013067. arXiv:1910.11408. Bibcode:2020PhRvR...2a3067X. doi:10.1103/PhysRevResearch.2.013067. S2CID 204915841. /wiki/ArXiv_(identifier)

  1217. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1218. Kotwica, M.; P. Gronek; K. Malarz (2019). "Efficient space virtualisation for Hoshen–Kopelman algorithm". International Journal of Modern Physics C. 30 (8): 1950055–1950099. arXiv:1803.09504. Bibcode:2019IJMPC..3050055K. doi:10.1142/S0129183119500554. S2CID 4418563. /wiki/ArXiv_(identifier)

  1219. Hu, Yi; Patrick Charbonneau (2021). "Percolation thresholds on high-dimensional Dn and E8-related lattices". Physical Review E. 103 (6): 062115. arXiv:2102.09682. Bibcode:2021PhRvE.103f2115H. doi:10.1103/PhysRevE.103.062115. PMID 34271715. S2CID 231979212. /wiki/ArXiv_(identifier)

  1220. van der Marck, Steven C. (1998). "Calculation of Percolation Thresholds in High Dimensions for FCC, BCC and Diamond Lattices". International Journal of Modern Physics C. 9 (4): 529–540. arXiv:cond-mat/9802187. Bibcode:1998IJMPC...9..529V. doi:10.1142/S0129183198000431. S2CID 119097158. /wiki/ArXiv_(identifier)

  1221. Xun, Zhipeng (2020). "Precise bond percolation thresholds on several four-dimensional lattices". Physical Review Research. 2 (1): 013067. arXiv:1910.11408. Bibcode:2020PhRvR...2a3067X. doi:10.1103/PhysRevResearch.2.013067. S2CID 204915841. /wiki/ArXiv_(identifier)

  1222. Hu, Yi; Patrick Charbonneau (2021). "Percolation thresholds on high-dimensional Dn and E8-related lattices". Physical Review E. 103 (6): 062115. arXiv:2102.09682. Bibcode:2021PhRvE.103f2115H. doi:10.1103/PhysRevE.103.062115. PMID 34271715. S2CID 231979212. /wiki/ArXiv_(identifier)

  1223. Kotwica, M.; P. Gronek; K. Malarz (2019). "Efficient space virtualisation for Hoshen–Kopelman algorithm". International Journal of Modern Physics C. 30 (8): 1950055–1950099. arXiv:1803.09504. Bibcode:2019IJMPC..3050055K. doi:10.1142/S0129183119500554. S2CID 4418563. /wiki/ArXiv_(identifier)

  1224. Zhao, Pengyu; Jinhong Yan; Zhipeng Xun; Dapeng Hao; Robert M. Ziff (2022). "Site and bond percolation on four-dimensional simple hypercubic lattices with extended neighborhoods". Journal of Statistical Mechanics: Theory and Experiment. 2022 (3): 033202. arXiv:2109.11195. Bibcode:2022JSMTE2022c3202Z. doi:10.1088/1742-5468/ac52a8. S2CID 237605083. /wiki/ArXiv_(identifier)

  1225. Xun, Zhipeng (2020). "Precise bond percolation thresholds on several four-dimensional lattices". Physical Review Research. 2 (1): 013067. arXiv:1910.11408. Bibcode:2020PhRvR...2a3067X. doi:10.1103/PhysRevResearch.2.013067. S2CID 204915841. /wiki/ArXiv_(identifier)

  1226. Zhao, Pengyu; Jinhong Yan; Zhipeng Xun; Dapeng Hao; Robert M. Ziff (2022). "Site and bond percolation on four-dimensional simple hypercubic lattices with extended neighborhoods". Journal of Statistical Mechanics: Theory and Experiment. 2022 (3): 033202. arXiv:2109.11195. Bibcode:2022JSMTE2022c3202Z. doi:10.1088/1742-5468/ac52a8. S2CID 237605083. /wiki/ArXiv_(identifier)

  1227. Kotwica, M.; P. Gronek; K. Malarz (2019). "Efficient space virtualisation for Hoshen–Kopelman algorithm". International Journal of Modern Physics C. 30 (8): 1950055–1950099. arXiv:1803.09504. Bibcode:2019IJMPC..3050055K. doi:10.1142/S0129183119500554. S2CID 4418563. /wiki/ArXiv_(identifier)

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  1372. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1373. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

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  1385. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

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  1387. Essam, J. W.; A. J. Guttmann; K. De'Bell (1988). "On two-dimensional directed percolation". J. Phys. A. 21 (19): 3815–3832. Bibcode:1988JPhA...21.3815E. doi:10.1088/0305-4470/21/19/018. /wiki/Bibcode_(identifier)

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  1389. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

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  1391. Jensen, Iwan (1996). "Low-density series expansions for directed percolation on square and triangular lattices". J. Phys. A. 29 (22): 7013–7040. Bibcode:1996JPhA...29.7013J. doi:10.1088/0305-4470/29/22/007. S2CID 121332666. /wiki/Bibcode_(identifier)

  1392. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

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  1395. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1396. Grassberger, P.; Y.-C. Zhang (1996). ""Self-organized" formulation of standard percolation phenomena". Physica A. 224 (1): 169–179. Bibcode:1996PhyA..224..169G. doi:10.1016/0378-4371(95)00321-5. /wiki/Bibcode_(identifier)

  1397. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

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  1399. Grassberger, P. (2009). "Local persistence in directed percolation". Journal of Statistical Mechanics: Theory and Experiment. 2009 (8): P08021. arXiv:0907.4021. Bibcode:2009JSMTE..08..021G. doi:10.1088/1742-5468/2009/08/P08021. S2CID 119236556. /wiki/ArXiv_(identifier)

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  1401. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

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  1403. Grassberger, P.; Y.-C. Zhang (1996). ""Self-organized" formulation of standard percolation phenomena". Physica A. 224 (1): 169–179. Bibcode:1996PhyA..224..169G. doi:10.1016/0378-4371(95)00321-5. /wiki/Bibcode_(identifier)

  1404. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1405. Blease, J. (1977). "Series expansions for the directed-bond percolation problem". J. Phys. C: Solid State Phys. 10 (7): 917–924. Bibcode:1977JPhC...10..917B. doi:10.1088/0022-3719/10/7/003. /wiki/Bibcode_(identifier)

  1406. Blease, J. (1977). "Series expansions for the directed-bond percolation problem". J. Phys. C: Solid State Phys. 10 (7): 917–924. Bibcode:1977JPhC...10..917B. doi:10.1088/0022-3719/10/7/003. /wiki/Bibcode_(identifier)

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  1408. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1409. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1410. Blease, J. (1977). "Series expansions for the directed-bond percolation problem". J. Phys. C: Solid State Phys. 10 (7): 917–924. Bibcode:1977JPhC...10..917B. doi:10.1088/0022-3719/10/7/003. /wiki/Bibcode_(identifier)

  1411. Grassberger, P. (2009). "Local persistence in directed percolation". Journal of Statistical Mechanics: Theory and Experiment. 2009 (8): P08021. arXiv:0907.4021. Bibcode:2009JSMTE..08..021G. doi:10.1088/1742-5468/2009/08/P08021. S2CID 119236556. /wiki/ArXiv_(identifier)

  1412. Dammer, Stephan M; Haye Hinrichsen (2004). "Spreading with immunization in high dimensions". Journal of Statistical Mechanics: Theory and Experiment. 2004 (7): P07011. arXiv:cond-mat/0405577. Bibcode:2004JSMTE..07..011D. doi:10.1088/1742-5468/2004/07/P07011. S2CID 118981083. /wiki/ArXiv_(identifier)

  1413. Lübeck, S.; R. D. Willmann (2004). "Universal scaling behavior of directed percolation around the upper critical dimension". J. Stat. Phys. 115 (5–6): 1231–1250. arXiv:cond-mat/0401395. Bibcode:2004JSP...115.1231L. CiteSeerX 10.1.1.310.8700. doi:10.1023/B:JOSS.0000028059.24904.3b. S2CID 16267627. /wiki/ArXiv_(identifier)

  1414. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1415. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1416. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1417. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1418. Blease, J. (1977). "Series expansions for the directed-bond percolation problem". J. Phys. C: Solid State Phys. 10 (7): 917–924. Bibcode:1977JPhC...10..917B. doi:10.1088/0022-3719/10/7/003. /wiki/Bibcode_(identifier)

  1419. Grassberger, P. (2009). "Local persistence in directed percolation". Journal of Statistical Mechanics: Theory and Experiment. 2009 (8): P08021. arXiv:0907.4021. Bibcode:2009JSMTE..08..021G. doi:10.1088/1742-5468/2009/08/P08021. S2CID 119236556. /wiki/ArXiv_(identifier)

  1420. Grassberger, Peter (2009). "Logarithmic corrections in (4 + 1)-dimensional directed percolation". Physical Review E. 79 (5): 052104. arXiv:0904.0804. Bibcode:2009PhRvE..79e2104G. doi:10.1103/PhysRevE.79.052104. PMID 19518501. S2CID 23876626. /wiki/ArXiv_(identifier)

  1421. Dammer, Stephan M; Haye Hinrichsen (2004). "Spreading with immunization in high dimensions". Journal of Statistical Mechanics: Theory and Experiment. 2004 (7): P07011. arXiv:cond-mat/0405577. Bibcode:2004JSMTE..07..011D. doi:10.1088/1742-5468/2004/07/P07011. S2CID 118981083. /wiki/ArXiv_(identifier)

  1422. Lübeck, S.; R. D. Willmann (2004). "Universal scaling behavior of directed percolation around the upper critical dimension". J. Stat. Phys. 115 (5–6): 1231–1250. arXiv:cond-mat/0401395. Bibcode:2004JSP...115.1231L. CiteSeerX 10.1.1.310.8700. doi:10.1023/B:JOSS.0000028059.24904.3b. S2CID 16267627. /wiki/ArXiv_(identifier)

  1423. Grassberger, Peter (2009). "Logarithmic corrections in (4 + 1)-dimensional directed percolation". Physical Review E. 79 (5): 052104. arXiv:0904.0804. Bibcode:2009PhRvE..79e2104G. doi:10.1103/PhysRevE.79.052104. PMID 19518501. S2CID 23876626. /wiki/ArXiv_(identifier)

  1424. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1425. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1426. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1427. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1428. Blease, J. (1977). "Series expansions for the directed-bond percolation problem". J. Phys. C: Solid State Phys. 10 (7): 917–924. Bibcode:1977JPhC...10..917B. doi:10.1088/0022-3719/10/7/003. /wiki/Bibcode_(identifier)

  1429. Grassberger, P. (2009). "Local persistence in directed percolation". Journal of Statistical Mechanics: Theory and Experiment. 2009 (8): P08021. arXiv:0907.4021. Bibcode:2009JSMTE..08..021G. doi:10.1088/1742-5468/2009/08/P08021. S2CID 119236556. /wiki/ArXiv_(identifier)

  1430. Dammer, Stephan M; Haye Hinrichsen (2004). "Spreading with immunization in high dimensions". Journal of Statistical Mechanics: Theory and Experiment. 2004 (7): P07011. arXiv:cond-mat/0405577. Bibcode:2004JSMTE..07..011D. doi:10.1088/1742-5468/2004/07/P07011. S2CID 118981083. /wiki/ArXiv_(identifier)

  1431. Lübeck, S.; R. D. Willmann (2004). "Universal scaling behavior of directed percolation around the upper critical dimension". J. Stat. Phys. 115 (5–6): 1231–1250. arXiv:cond-mat/0401395. Bibcode:2004JSP...115.1231L. CiteSeerX 10.1.1.310.8700. doi:10.1023/B:JOSS.0000028059.24904.3b. S2CID 16267627. /wiki/ArXiv_(identifier)

  1432. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1433. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1434. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1435. Wang, Junfeng; Zongzheng Zhou; Qingquan Liu; Timothy M. Garoni; Youjin Deng (2013). "A high-precision Monte Carlo study of directed percolation in (d + 1) dimensions". Physical Review E. 88 (4): 042102. arXiv:1201.3006. Bibcode:2013PhRvE..88d2102W. doi:10.1103/PhysRevE.88.042102. PMID 24229111. S2CID 43011467. /wiki/ArXiv_(identifier)

  1436. Blease, J. (1977). "Series expansions for the directed-bond percolation problem". J. Phys. C: Solid State Phys. 10 (7): 917–924. Bibcode:1977JPhC...10..917B. doi:10.1088/0022-3719/10/7/003. /wiki/Bibcode_(identifier)

  1437. Grassberger, P. (2009). "Local persistence in directed percolation". Journal of Statistical Mechanics: Theory and Experiment. 2009 (8): P08021. arXiv:0907.4021. Bibcode:2009JSMTE..08..021G. doi:10.1088/1742-5468/2009/08/P08021. S2CID 119236556. /wiki/ArXiv_(identifier)

  1438. Dammer, Stephan M; Haye Hinrichsen (2004). "Spreading with immunization in high dimensions". Journal of Statistical Mechanics: Theory and Experiment. 2004 (7): P07011. arXiv:cond-mat/0405577. Bibcode:2004JSMTE..07..011D. doi:10.1088/1742-5468/2004/07/P07011. S2CID 118981083. /wiki/ArXiv_(identifier)

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