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CLC number: O631

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.11 P.1130-1134

http://doi.org/10.1631/jzus.2005.B1130


Dynamic Monte Carlo study on the probability distribution functions of tail-like polymer chain


Author(s):  CHEN Ying-cai, LUO Meng-bo

Affiliation(s):  Department of Physics, Taizhou University, Taizhou 317000, China; more

Corresponding email(s):   Luomengbo@zju.edu.cn

Key Words:  Probability distribution, Monte Carlo simulation, Tail-like polymer chain



Abstract: 
The configurational properties of tail-like polymer chains with one end attached to a flat surface are studied by using dynamic Monte Carlo technique. We find that the probability distribution of the free end in z direction P(Rz) and the density profile ρ(z) can be scaled approximately by a factor β to be a length independent function for both random walking (RW) and self-avoiding walking (SAW) tail-like chains, where the factor β is related to the mean square end-to-end distance <R2>. The scaled P(Rz) of the SAW chain roughly overlaps that of the RW chain, but the scaled ρ(z) of the SAW chain locates at smaller βz than that of the RW chain.

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