2019
DOI: 10.1103/physreve.100.062129
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Unusual geometric percolation of hard nanorods in the uniaxial nematic liquid crystalline phase

Abstract: We investigate by means of continuum percolation theory and Monte Carlo simulations how spontaneous uniaxial symmetry breaking affects geometric percolation in dispersions of hard rodlike particles. If the particle aspect ratio exceeds about twenty, percolation in the nematic phase can be lost upon adding particles to the dispersion. This contrasts with percolation in the isotropic phase, where a minimum particle loading is always required to obtain system-spanning clusters. For sufficiently short rods, percol… Show more

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Cited by 8 publications
(13 citation statements)
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References 58 publications
(216 reference statements)
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“…This has been shown analytically and was confirmed by Monte Carlo simulations by Finner et al, in the absence of an external field. 65,66 Noting that quadrupole fields always inhibit the formation of percolating clusters to some extent, we conclude that this finding remains valid in the presence of an external field.…”
Section: Onsager Theory Revisitedsupporting
confidence: 53%
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“…This has been shown analytically and was confirmed by Monte Carlo simulations by Finner et al, in the absence of an external field. 65,66 Noting that quadrupole fields always inhibit the formation of percolating clusters to some extent, we conclude that this finding remains valid in the presence of an external field.…”
Section: Onsager Theory Revisitedsupporting
confidence: 53%
“…However, it may be justified on the grounds that it makes sense to make use of the same renormalisation of the excluded volume term of the free energy as that in the direct connectedness function, which in effect is a connectedness volume. 66 Perhaps more convincingly, it turns out that this approximation yields very accurate results for aspect ratios L/D 4 10. 66 By the same methods described in Section 3, we solve the connectedness Ornstein-Zernike equation and find the cluster size as function of the volume fraction j, aspect ratio L/D, connectedness criterion l/D, and external field strength K. We summarise our findings in the percolation diagrams shown in Fig.…”
Section: Finite Aspect Ratiosmentioning
confidence: 86%
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