Brownian dynamics study of the end-to-end distribution function of two-dimensional linear chains in different regimes

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Abstract
Brownian dynamics computer simulations are used to investigate the shape of the mean-squared end–to–end distance distribution function for two-dimensional linear chains in three regimes: (1) excluded volume, (2) θ, (3) collapsed. It is found that Mazur’s function fits regime (1), that the Gaussian function fits regime (3), and that the changeover in behavior between these two functional forms appears to occur at temperatures well above the expected θ point.