Statics and dynamics of adsorbed polymer chains: A Monte Carlo simulation

1995 ◽  
Vol 103 (13) ◽  
pp. 5742-5755 ◽  
Author(s):  
Pik‐Yin Lai
e-Polymers ◽  
2004 ◽  
Vol 4 (1) ◽  
Author(s):  
Sabine Beuermann ◽  
Michael Buback ◽  
Marco Drache ◽  
Dorit Nelke ◽  
Gudrun Schmidt-Naake

Abstract The differences in solubility of poly(vinyl acetate) (PVAc) and poly(methyl acrylate) (PMA) were addressed by applying atomistic Monte Carlo simulation techniques. Polymer segments consisting of nine monomer units serve as model compounds for polymer chains. As a measure of intermolecular interactions with the solvent environment, cohesion energies of the polymer segments embedded in either the corresponding monomer or in CO2 were calculated. Only in case of PMA segments in CO2 environment, specific interactions between polymer segments were identified. This finding is in agreement with experimental results on phase behaviour and propagation kinetics.


1997 ◽  
Vol 106 (16) ◽  
pp. 6709-6721 ◽  
Author(s):  
Alexander Hoffmann ◽  
Jens-Uwe Sommer ◽  
Alexander Blumen

1998 ◽  
Vol 276 (9) ◽  
pp. 753-768 ◽  
Author(s):  
L. V. Zherenkova ◽  
D. A. Mologin ◽  
P. G. Khalatur ◽  
A. R. Khokhlov

2015 ◽  
Vol 17 (47) ◽  
pp. 31877-31886 ◽  
Author(s):  
Chao-Yang Li ◽  
Meng-Bo Luo ◽  
Jian-Hua Huang ◽  
Hong Li

The effect of randomly distributed nano-sized fillers on the equilibrium and dynamical properties of linear polymers is studied by using off-lattice Monte Carlo simulation.


2015 ◽  
Vol 36 ◽  
pp. 1560017
Author(s):  
J. P. B. Sambo ◽  
B. V. Gemao ◽  
J. B. Bornales

The scaling expression for fractional Brownian modeled linear polymer chains was obtained both theoretically and numerically. Through the probability distribution of fractional Brownian paths, the scaling was found out to be 〈R2〉 ~ N2H, where R is the end-to-end distance of the polymer chain, N is the number of monomer units and H is the Hurst parameter. Numerical data was generated through the use of Monte Carlo simulation implementing the Metropolis algorithm. Results show good agreement between numerical and theoretical scaling constants after some parameter optimization. The probability distribution confirmed the Gaussian nature of fractional Brownian motion and the behavior is not affected by varying values of the Hurst parameter and of the number of monomer units.


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