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Monte Carlo simulation deposition

Variation in the pixel shape factor, Tj, with the mean free path, X, obtained from the Monte-Carlo simulation. Depositing at lower pressure (or longer X) results in more sharply defined edges (i.e., larger t, as defined in the text). (From Shtein, M. et al., /. Appl. Phys., 93,4005,2003. With permission.)... [Pg.47]

Y. G. Yang, R. A. Johnson, H. N. G. Wadley. A Monte Carlo simulation of the physical vapor deposition of nickel. Acta Mater 45 1455, 1997. [Pg.930]

R. W. Smith. A kinetic Monte Carlo simulation of fiber texture formation during thin-film deposition. J Appl Physics 57 1196, 1997. [Pg.931]

FIGURE 35.7 Results of a kinetic Monte Carlo simulation. Number of islands as a function of the coverage degree for various deposition rates v of Ag on Au(lOO). (From Gimenez et al., 2002, with permission of The Electrochemical Society.)... [Pg.676]

Figure 2 Monte Carlo simulation dermal deposition rate. Figure 2 Monte Carlo simulation dermal deposition rate.
Figure 5. Relative standard deviation on the fitting of the deposition rate of the unattached daughters (Xun) and on the fitting of the ventilation rate (Xvent)> calculated by means of a Monte- Carlo simulation model. The lower curve is obtained with counting statistics alone. The upper curve includes one hour time fluctuations on the input parameters, with 10% rel. stand, dev. on X, un (15/h), a(.35/h), Vent(.45/h) and radon cone. (50 bq/m ) and 2% on recoil factor (.83), penetration unattached (.78) and flow rate (28 1/min). Figure 5. Relative standard deviation on the fitting of the deposition rate of the unattached daughters (Xun) and on the fitting of the ventilation rate (Xvent)> calculated by means of a Monte- Carlo simulation model. The lower curve is obtained with counting statistics alone. The upper curve includes one hour time fluctuations on the input parameters, with 10% rel. stand, dev. on X, un (15/h), a(.35/h), Vent(.45/h) and radon cone. (50 bq/m ) and 2% on recoil factor (.83), penetration unattached (.78) and flow rate (28 1/min).
The Peclet number dependence of the soot cake microstructure has important implications for the morphology of the soot (and ash) deposits in the square channels of DPFs, as illustrated in Fig. 29, obtained by a mixed Ordinary Differential Equations (ODE)-Monte Carlo simulation (Rodriguez-Perez et al.,... [Pg.245]

Fig. 18 The model of elementary steps as used in the rate equation and Monte Carlo simulation treatments that reproduced the self-poisoning minimum. A cross-section (row of stems) normal to the growth face is shown. There are three elementary steps differing in their barrier and driving force attachment (rate A) and detachment (rate B) of segments equal to half the chain length, and partial detachment of an extended chain (rate C). The key self-poisoning condition is that attachment of the second half of an extended chain is allowed only if m = 1, i.e. an extended chain cannot deposit onto a folded chain (from [49] by permission of the American Institute of Physics)... Fig. 18 The model of elementary steps as used in the rate equation and Monte Carlo simulation treatments that reproduced the self-poisoning minimum. A cross-section (row of stems) normal to the growth face is shown. There are three elementary steps differing in their barrier and driving force attachment (rate A) and detachment (rate B) of segments equal to half the chain length, and partial detachment of an extended chain (rate C). The key self-poisoning condition is that attachment of the second half of an extended chain is allowed only if m = 1, i.e. an extended chain cannot deposit onto a folded chain (from [49] by permission of the American Institute of Physics)...
Multiple-ionizations model is one of the most probable models because the huge energy deposited in the medium is considerably greater than the total energy needed to ionize the total number of water molecules along the ion track. This has been recently exploited in Monte Carlo simulations (see Fig. This model... [Pg.245]

In order to check the resist thickness dependence on formation of very fine pitch dot arrays using 30 keV electrons, we calculated electron energy deposition distribution (EDD) using Monte Carlo simulation. As considering the EDD due to electron forward scattering (FS), at least, the miniaturization of the bit size, the deviation value is very crucial. The deviations calculated for PMMA are about 2 nm, about 3 nm and about 8 nm ata resist thickness of 15 mm, 70 nm and 200 nm, respectively. As the resist thickness decreases, the value becomes small. Therefore, we have to use resist films as thin as possible for very fine pitch arrays formation. [Pg.460]

To predict the transport and fate of colloids in the subsurface, it is important to understand both the mechanism of particle deposition and that of remobilization in porous media. Experiments by MacDowell-Boyer (1992) and Monte Carlo simulations of Brownian particles near the surfaces of the media indicate that the secondary stability minimum (see physical model on colloid stability. Figure 14.10) can play an important role in the deposition and reentrainment of submicron particles at ionic strengths relevant to groundwater. [Pg.864]

Results of recent theoretical and computer simulation studies of phase transitions in monolayer films of Lennard-Jones particles deposited on crystalline solids are discussed. DiflFerent approaches based on lattice gas and continuous space models of adsorbed films are considered. Some new results of Monte Carlo simulation study for melting and ordering in monolayer films formed on the (100) face of an fee crystal are presented and confronted with theoretical predictions. In particular, it is demonstrated that the inner structure of solid films and the mechanism of melting transition depend strongly on the effects due to the periodic variation of the gas - solid potential. [Pg.599]

Rosner, D. E., McGraw, R. Tandon, P. 2003 Multivariate population balances via moment and Monte Carlo simulation methods an important sol reaction engineering bivariate example and mixed moments for the estimation of deposition, scavenging, and optical properties for populations of nonspherical suspended particles. Industrial Engineering Chemistry Research 42, 2699-21 1. [Pg.480]

The nucleation and growth of islands during submonolayer deposition is, of course, a problem that has been studied for decades [121,122]. Analyses based on mean-field rate equations have led to an understanding of the dependence of mean island density, Nav, on deposition conditions. More recently, kinetic Monte Carlo simulation studies have been used to test... [Pg.380]


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