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Generalized tiling model models

D. Formulation of the Generalized Tiling Model for Two-Dimensional Melting... [Pg.544]

E. Statistical and Thermodynamic Properties of the Generalized Tiling Model... [Pg.544]

As we show below, the generalized tiling model we have developed exhibits very similar cooperative features that in general lead to a first-order transition. [Pg.676]

The properties of the generalized tiling model depend on two parameters, a dimensionless temperature t= kgTIE, and a dimensionless tiling fault energy r=EJE. We have obtained the statistical and thermodynamic properties of our model as a function of t and r from Metropolis Monte Carlo (MC) simulations. The basic variables used in the MC... [Pg.679]

We used Monte Carlo simulations to obtain the statistical and thermodynamic properties of topologically constrained and unconstrained versions of our model, for = 4 and = 6. For each of these versions of the generalized tiling model, we carried out heating runs (and a more... [Pg.681]

In Figs. 75 and 76 we have shown the order parameter internal energy per vertex (u = (H) /N) measured in MC simulations of the topologically constrained generalized tiling model for = 4, N = 3584. [Pg.682]

Figure 77. Internal energy versus t from Monte Carlo simulations of the topologically constrained generalized tiling model, for = 4, / = 28, N = 3584, obtained on heating (bullets) and cooling (circles). Figure 77. Internal energy versus t from Monte Carlo simulations of the topologically constrained generalized tiling model, for = 4, / = 28, N = 3584, obtained on heating (bullets) and cooling (circles).
Figure 84. Internal energy versus i from Monte Carlo simulations of the topologically unconstrained generalized tiling model, for =6, N = 896. Each series of simulations is labeled by its corresponding / -value, (a) Small r. (b) Large r. Figure 84. Internal energy versus i from Monte Carlo simulations of the topologically unconstrained generalized tiling model, for =6, N = 896. Each series of simulations is labeled by its corresponding / -value, (a) Small r. (b) Large r.
In Tables IV-VIII we have compared the statistics of the topologically constrained and unconstrained generalized tiling models for r = 4, =... [Pg.691]

Figure 86. Small s part of n, calculated from relaxed configurations of the topologically constrained generalized tiling model for p = (>, r = 4, t = 1.4 (bullets). The solid line represents a fit to Eq. (3.26). Figure 86. Small s part of n, calculated from relaxed configurations of the topologically constrained generalized tiling model for p = (>, r = 4, t = 1.4 (bullets). The solid line represents a fit to Eq. (3.26).
Figure 87. Relaxed configurations of the topologically unconstrained generalized tiling model for = r = 4, r = 0.635 (a) sweep 500 (b) sweep 1000 (c) sweep 1500 (d) sweep 2000 (e) sweep 5000 (/) sweep 12,000. Figure 87. Relaxed configurations of the topologically unconstrained generalized tiling model for = r = 4, r = 0.635 (a) sweep 500 (b) sweep 1000 (c) sweep 1500 (d) sweep 2000 (e) sweep 5000 (/) sweep 12,000.

See other pages where Generalized tiling model models is mentioned: [Pg.544]    [Pg.550]    [Pg.550]    [Pg.556]    [Pg.652]    [Pg.659]    [Pg.659]    [Pg.660]    [Pg.660]    [Pg.661]    [Pg.671]    [Pg.672]    [Pg.687]    [Pg.688]    [Pg.689]    [Pg.689]    [Pg.690]    [Pg.691]    [Pg.691]    [Pg.693]    [Pg.693]    [Pg.695]    [Pg.699]    [Pg.699]   
See also in sourсe #XX -- [ Pg.676 , Pg.677 , Pg.678 , Pg.679 , Pg.680 , Pg.681 ]




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