1998
DOI: 10.1007/bf02877822
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Monte Carlo simulation of phase separation kinetics in a concentrated polymer solution

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Cited by 5 publications
(6 citation statements)
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“…3show the changes of <R 2 >, <S 2 > and <A> of the different volume fraction with variation of the interaction energy ε PS . As can be seen from the figure, the changes of <R 2 >, <S 2 > and <A> of the different volume fraction in polymer multiple chain system have the same discipline that decrease of <R 2 >, <S 2 > and <A> with increase of ε PS . At the same time, obvious changes of <R 2 > and <S 2 > had been existed with increase of volume fraction Ф.…”
Section: Resultsmentioning
confidence: 63%
See 1 more Smart Citation
“…3show the changes of <R 2 >, <S 2 > and <A> of the different volume fraction with variation of the interaction energy ε PS . As can be seen from the figure, the changes of <R 2 >, <S 2 > and <A> of the different volume fraction in polymer multiple chain system have the same discipline that decrease of <R 2 >, <S 2 > and <A> with increase of ε PS . At the same time, obvious changes of <R 2 > and <S 2 > had been existed with increase of volume fraction Ф.…”
Section: Resultsmentioning
confidence: 63%
“…Monte Carlo (MC, computer simulation) method was a particular research method situated between theory and experience methods. Xiaozhen Yang [1], Delu Zhao and Yuliang Yang [2] etc determine the energy of the system and discuss the conformation by confirming the number of the interaction pairs. Our work is to attempt to adopt Monte Carlo compute method of calculating the changing energy value directly fore-and-aft movement to simulate the linear polymer multiple chain systems lattice model, and makes a research on the variational situation of polymer size and shape with the interaction energy changing among the system components.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical methods that are known as Monte Carlo methods can be loosely described as statistical simulation methods, where statistical simulation is defined in quite general terms to be any method that utilizes sequences of random numbers to perform the simulation. Xiaozhen Yang [1], Delu Zhao and Yuliang Yang [2] etc determine the energy of the system and discuss the solubility by confirming the number of the interaction pairs. Our work is to attempt to adopt Monte Carlo compute method of calculating the changing energy value directly fore-and-aft movement to simulate the linear polymer multiple chain systems lattice model, and makes a research on the variational situation of polymer solubility with the interaction energy changing among the system components.…”
Section: Introductionmentioning
confidence: 99%
“…Monte Carlo (MC, computer simulation) method was a particular research method situated between theory and experience methods. Xiaozhen Yang [1] , Delu Zhao and Yuliang Yang [2] etc determine the energy of the system and discuss the property by confirming the number of the interaction pairs. Our work is to attempt to adopt Monte Carlo compute method of calculating the changing energy value directly fore-and-aft movement to simulate the linear polymer in the single chain system, and makes a research on the variational situation of polymer property with the interaction energy changing among the system components…”
Section: Introductionmentioning
confidence: 99%