2006
DOI: 10.1590/s0103-97332006000500006
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Monte Carlo simulations of a semi-flexible polymer chain: a first glance

Abstract: We present preliminary results for Monte Carlo simulations of a three dimensional semi-flexible polymer chain with continuous monomer positions. In these simulations, standard Metropolis Monte Carlo methods are used to examine the basic properties of the model, such as equilibration configurations, overall size, and transition temperatures.

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Cited by 11 publications
(10 citation statements)
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“…The flatness criterion is chosen p = 0.6 during the simulation. Each Monte Carlo sweep (MCS) consists of N monomer diffusion moves where monomers are randomly selected and then displaced a random distance within a small cubic volume . Thermodynamic quantities with reasonable statistics based on the Jack‐knife technique are estimated in a long production run consisting of 10 8 sweeps.…”
Section: Methodsmentioning
confidence: 99%
“…The flatness criterion is chosen p = 0.6 during the simulation. Each Monte Carlo sweep (MCS) consists of N monomer diffusion moves where monomers are randomly selected and then displaced a random distance within a small cubic volume . Thermodynamic quantities with reasonable statistics based on the Jack‐knife technique are estimated in a long production run consisting of 10 8 sweeps.…”
Section: Methodsmentioning
confidence: 99%
“…One Monte Carlo sweep (MCS) consists of N attempted monomer displacement moves and a single attempt of each of the other types of moves. The moves are identical to those described in reference [18]. It is also important to note that an attempt was made to locate the approximate ground state energy for each chain length, insuring that the energy ranges used were reasonably appropriate in each simulation.…”
Section: Methodsmentioning
confidence: 99%
“…Despite it was expected in coarse-grained simulations that the R g values of matrix decrease with reduction in the chains molecular weight (chains length) [20,37,38], yet the trend was not observed in case of the six chain sample, where the R g value increased thanks to the formation of an intertwined bundle of short chains. It is obvious that discovering such phenomenon is possible by simulating four different types of chain lengths and different chain numbers and also covering all the intermolecular parameters with explicit atom modeling.…”
Section: Dispersion and Aggregation Of Admmentioning
confidence: 97%