scholarly journals A Monte Carlo Study of Distribution Function P(S) of a Polymer Chain

1995 ◽  
Vol 27 (10) ◽  
pp. 979-985
Author(s):  
Mengbo Luo ◽  
Xubing Song ◽  
Wenqin Lu ◽  
Jianmin Xu
2006 ◽  
Vol 125 (10) ◽  
pp. 104901 ◽  
Author(s):  
Piotr Romiszowski ◽  
Andrzej Sikorski

Polymer ◽  
2006 ◽  
Vol 47 (8) ◽  
pp. 2928-2932 ◽  
Author(s):  
Jianhua Huang ◽  
Zhaofeng Mao ◽  
Changji Qian

1990 ◽  
Vol 27 (03) ◽  
pp. 586-597 ◽  
Author(s):  
Suojin Wang

A saddlepoint approximation is derived for the cumulative distribution function of the sample mean of n independent bivariate random vectors. The derivations use Lugannani and Rice's saddlepoint formula and the standard bivariated normal distribution function. The separate versions of the approximation for the discrete cases are also given. A Monte Carlo study shows that the new approximation is very accurate.


2003 ◽  
Vol 17 (22n24) ◽  
pp. 4267-4271 ◽  
Author(s):  
Meng-Bo Luo

The configurational and magnetic properties of magnetic polymers are investigated based on an Ising polymer chain model with nearest-neighbor spin-spin interaction on the simple cubic lattice. Dynamic Monte Carlo simulation shows that the model has spontaneous magnetization at low temperature, i.e. the mean-square magnetization <M2> approaches to 1 below the critical temperature Tc. Near Tc, a transition of chain spatial configuration from extended coil to compacted globule is found. A nonlinear magnetization - field curve is observed, in agreement with experimental findings for magnetic polymers.


2001 ◽  
Vol 17 (05) ◽  
pp. 422-426
Author(s):  
Luo Meng-Bo ◽  
◽  
Chen Ying-Cai ◽  
Huang Jian-Hua ◽  
Xu Jian-Min

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