Literature DB >> 20365759

Structure of void space in polymer solutions.

Bong June Sung1, Arun Yethiraj.   

Abstract

The structure of void space in two- and three-dimensional (3D) polymer solutions is studied using Voronoi tessellation and percolation theory. The polymer molecules are modeled as freely jointed chains of N tangent hard disks (two dimensions) or spheres (three dimensions). Polymer chains are equilibrated via Monte Carlo simulations and the pore space in configurations of equilibrated chains is mapped using Voronoi tessellation. In d dimensions a Voronoi vertex is the center of the sphere tangent to the d+1 nearest monomers. An edge of the Voronoi diagram is the shortest route between two neighboring vertices. The edge is considered connected if a monomer can pass through and disconnected otherwise. The Voronoi construction is used to calculate the percolation threshold of the void space. The most interesting result is that the polymer area fraction at the percolation threshold is a nonmonotonic function of N in two dimensions but monotonically reaches a constant value in three dimensions. The crossover behavior of the percolation threshold is also observed in pseudo-3D. The pore size distribution decreases monotonically with increasing pore size. This is markedly different from that in configurations of hard disks (monomeric fluid) where the pore size distribution is peaked at finite size.

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Year:  2010        PMID: 20365759     DOI: 10.1103/PhysRevE.81.031801

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Monte Carlo study of the percolation in two-dimensional polymer systems.

Authors:  Monika Pawłowska; Andrzej Sikorski
Journal:  J Mol Model       Date:  2013-06-14       Impact factor: 1.810

Review 2.  Characterization of Self-Assembled 2D Patterns with Voronoi Entropy.

Authors:  Edward Bormashenko; Mark Frenkel; Alla Vilk; Irina Legchenkova; Alexander A Fedorets; Nurken E Aktaev; Leonid A Dombrovsky; Michael Nosonovsky
Journal:  Entropy (Basel)       Date:  2018-12-11       Impact factor: 2.524

  2 in total

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