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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
Published on: September 26, 2016
Monte Carlo study of the percolation in two-dimensional polymer systems
Monika Pawłowska1, Andrzej Sikorski
1Department of Chemistry, University of Warsaw, Pasteura 1, 02-093, Warsaw, Poland.
Journal of Molecular Modeling
|June 15, 2013
Summary
Monte Carlo simulations revealed differences in polymer film structures. Random sequential adsorption yielded lower percolation thresholds for longer polymer chains compared to other methods.
Area of Science:
- Polymer physics
- Computational materials science
Background:
- Understanding the structure of adsorbed polymer films is crucial for materials science.
- Polymer chain conformation and interactions influence film properties.
Purpose of the Study:
- To investigate the structure of two-dimensional polymer films formed by adsorbed chains.
- To compare the effectiveness of different Monte Carlo simulation methods in determining polymer film properties.
Main Methods:
- Utilized Monte Carlo simulations, including random sequential adsorption (RSA) and Verdier-Stockmayer sampling.
- Modeled polymer chains as linear sequences of lattice beads on a two-dimensional square lattice.
- Determined percolation thresholds for infinite chain systems.
Main Results:
- The random sequential adsorption (RSA) method resulted in significantly lower percolation thresholds for longer polymer chains.
- A notable difference in chain conformations utilized by the two simulation methods was observed.
- The chain length was found to influence percolation thresholds in the studied polymer films.
Conclusions:
- The choice of simulation method impacts the calculated percolation thresholds for adsorbed polymer films.
- Differences in conformational sampling between RSA and Verdier-Stockmayer algorithms explain the observed threshold variations.
- This study provides insights into the structural properties of polymer films and the methodologies used to model them.
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