A global-update simulation method for polymer systems

We describe a hybrid Monte Carlo algorithm, combining molecular dynamics with the Monte Carlo method, applied to the simulation of polymer systems. It is shown that observables are independent of the discretization error, and the performance, i.e., autocorrelation times of observables, is analyzed....

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Bibliographic Details
Main Authors: Heermann, Dieter W. (Author) , Li, Yixue (Author)
Format: Article (Journal)
Language:English
Published: May 1993
In: Macromolecular theory and simulations
Year: 1993, Volume: 2, Issue: 3, Pages: 299-308
ISSN:1521-3919
DOI:10.1002/mats.1993.040020301
Online Access:Verlag, Volltext: http://dx.doi.org/10.1002/mats.1993.040020301
Verlag, Volltext: http://onlinelibrary.wiley.com/doi/10.1002/mats.1993.040020301/abstract
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Author Notes:Dieter W. Heermann, Li Yixue
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Summary:We describe a hybrid Monte Carlo algorithm, combining molecular dynamics with the Monte Carlo method, applied to the simulation of polymer systems. It is shown that observables are independent of the discretization error, and the performance, i.e., autocorrelation times of observables, is analyzed. For a dense system representing a polyethylene melt, we present data for the pair distribution function and the mean square displacement of a chain in the bulk. We also investigate the possibility of using a scaled Hamiltonian in the algorithm.
Item Description:Gesehen am 08.06.2017
Physical Description:Online Resource
ISSN:1521-3919
DOI:10.1002/mats.1993.040020301