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《浙江大学学报(英文版)》 2005-11
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Dynamic Monte Carlo study on the probability distribution functions of tail-like polymer chain

CHEN Ying-cai 1,2, LUO Meng-bo 2 (1Department of Physics, Taizhou University, Taizhou 317000, China) (2Department of Physics, Zhejiang University, Hangzhou 310027, China)  
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.
【Fund】: Project (No. 20204014) supported by the National Natural ScienceFoundation of China
【CateGory Index】: O631.3;
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