Dynamical Properties of the Slithering Snake Algorithm: A numerical test of the activated reptation hypothesis

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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24 pages, 18 figures, submitted to EPJ E

Scientific paper

10.1140/epje/i2002-10122-1

The correlations in the motion of reptating polymers in their melt are investigated by means of kinetic Monte Carlo simulations of the three dimensional slithering snake version of the bond-fluctuation model. Surprisingly, the slithering snake dynamics becomes inconsistent with classical reptation predictions at high chain overlap (either chain length $N$ or volume fraction $\phi$) where the relaxation times increase much faster than expected. This is due to the anomalous curvilinear diffusion in a finite time window whose upper bound $\tau_+$ is set by the chain end density $\phi/N$. Density fluctuations created by passing chain ends allow a reference polymer to break out of the local cage of immobile obstacles created by neighboring chains. The dynamics of dense solutions of snakes at $t \ll \tau_+$ is identical to that of a benchmark system where all but one chain are frozen. We demonstrate that it is the slow creeping of a chain out of its correlation hole which causes the subdiffusive dynamical regime. Our results are in good qualitative agreement with the activated reptation scheme proposed recently by Semenov and Rubinstein [Eur. Phys. J. B, {\bf 1} (1998) 87]. Additionally, we briefly comment on the relevance of local relaxation pathways within a slithering snake scheme. Our preliminary results suggest that a judicious choice of the ratio of local to slithering snake moves is crucial to equilibrate a melt of long chains efficiently.

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