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Gas permeation through a polymer network

B Schmittmann1, Manoj Gopalakrishnan2 and R K P Zia1

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We study the diffusion of gas molecules through a two-dimensional network of polymers with the help of Monte Carlo simulations. The polymers are modelled as non-interacting random walks on the bonds of a two-dimensional square lattice, while the gas particles occupy the lattice cells. When a particle attempts to jump to a nearest-neighbour empty cell, it has to overcome an energy barrier which is determined by the number of polymer segments on the bond separating the two cells. We investigate the gas current J as a function of the mean segment density ρ, the polymer length \ell and the probability qm for hopping across m segments. Whereas J decreases monotonically with ρ for fixed \ell , its behaviour for fixed ρ and increasing \ell depends strongly on q. For small, non-zero q, J appears to increase slowly with \ell . In contrast, for q = 0, it is dominated by the underlying percolation problem and can be non-monotonic. We provide heuristic arguments to put these interesting phenomena into context.


PACS

66.30.Dn Theory of diffusion and ionic conduction in solids

05.50.+q Lattice theory and statistics (Ising, Potts, etc.)

05.40.Fb Random walks and Levy flights

51.10.+y Kinetic and transport theory of gases

Subjects

Plasma physics

Condensed matter: structural, mechanical & thermal

Statistical physics and nonlinear systems

Dates

Issue 20 (25 May 2005)

Received 10 January 2005, in final form 10 February 2005

Published 6 May 2005



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