1998
DOI: 10.1063/1.476068
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Computer simulations of self-avoiding polymerized membranes

Abstract: In this letter we propose a hybrid molecular dynamics/Monte Carlo (MD/MC) method to simulate the statistical behavior of tethered and fluid membranes which does not suffer from severe slowing-down problems as in conventional MC and MD methods. A parallel version of the algorithm allows for reliable determination of the scaling behavior of open and closed membranes.

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Cited by 5 publications
(6 citation statements)
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“…Long times: for a/L 1 and kt/ζ N/π 2 only the lowest mode contributes to the summation, therefore, expanding the correlation function in equation (32) yields…”
Section: Autocorrelation Function Of a Vector Connecting Two Beadsmentioning
confidence: 99%
See 1 more Smart Citation
“…Long times: for a/L 1 and kt/ζ N/π 2 only the lowest mode contributes to the summation, therefore, expanding the correlation function in equation (32) yields…”
Section: Autocorrelation Function Of a Vector Connecting Two Beadsmentioning
confidence: 99%
“…In contrast to the equilibrium properties, the dynamical properties of membranes have been studied with less intensity. Apart from scaling analyses [27][28][29], the bulk of the research on the dynamics of polymerized membranes are heavily dominated by computer simulations [30][31][32][33], leaving exact analytical results on the dynamics of membranes a relatively open area.…”
Section: Introductionmentioning
confidence: 99%
“…The crumpling transition at high temperatures was in fact observed in Monte Carlo simulations of phantom membranes without self-avoidance [61,62]. However, a number of simulations with purely repulsive self-avoiding interactions find that the flat phase persists for arbitrarily high temperatures [63][64][65][66][67]. We note that a pair potential with an attractive as well as a repulsive part can produce a compact phase (D f ¼ 3) at low temperatures, which transitions to a flat phase with D f ¼ 2 at high temperatures [68,69].…”
Section: Introductionmentioning
confidence: 98%
“…To carry out constant temperature dynamics, either Brownian dynamics [18] or stochastic collision [19] can be used. We have found stochastic collision to be more efficient, because it generally generates a faster relaxation time for the polymer configurations [20]. In our simulations, we assign new velocities to all the particles from a Maxwell-Boltzmann distribution every 100 to 1000 MD time steps.…”
Section: Model and Simulation Methodsmentioning
confidence: 99%