A non-Gaussian model in polymeric network.

L C Malacarne; R S Mendes; E K Lenzi; S Picoli; J P Dal Molin

doi:10.1140/epje/i2006-10028-x

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A non-Gaussian model in polymeric network.

L C Malacarne·R S Mendes·E K Lenzi·S Picoli·J P Dal Molin

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Abstract

We investigate a finite chain approximation, the non-Gaussian Tsallis distribution, to the polymeric network, which gives an improvement to the Gaussian model. This distribution presents some necessary characteristics, like a cutoff to the maximum chain length and a continuous limit to the Gaussian one for a large number of monomers. It also presents a simple quadratic structure that allows to generalize the Gaussian properties such as exact-moments calculation and Wick theorem. We obtain the free-energy density in its full tensorial structure.

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Computer Simulation Elasticity Models, Chemical Models, Molecular Models, Statistical Normal Distribution Polymers Statistical Distributions Journal Article

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L C Malacarne, R S Mendes, E K Lenzi, S Picoli, J P Dal Molin. 2006-09-05. A non-Gaussian model in polymeric network.. https://doi.org/10.1140/epje%2Fi2006-10028-x

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