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INDEX lattice models

Porous silicon materials are described as a mixture of air, silicon, and, in some cases, silicon dioxide. The optical properties of a porous silicon layer are determined by the thickness, porosity, refractive index, and the shape and size of pores and are obtained from both experimental- and model-based approaches. Porous silicon is a very attractive material for refractive index fabrication because of the ease in changing its refractive index. Many studies have been made on one- and two-dimensional refractive index lattice structures. The refractive index is a complex function of wavelength, i.e., n(X) = n(X) — ik(k), where k is the extinction coefficient and determines how light waves propagate inside a material (Jackson 1975). The square of the refractive index is the dielectric function e(co) = n(co), which contributes to Maxwell s equations. [Pg.796]

In simple cases, the a priori probability Ppm QC — X) to generate a move fromX toX is the same as for the inverse move, Ppro (X—iX ), and then the proposal probability does not need to be considered. For instance, when we consider an off-lattice model of a simple fluid described by point particles (that interact with some given potentials), an elementary trial move may consist in selecting one particle at random and considering it for a random displacement. So the position of this particle (labeled by index k) changes from to fj = fj + Ar) where the vector Ar is constmcted with the help of three random numbers, uniformly distributed in the unit interval... [Pg.465]

In this model process the interface between the two lattices is assumed to be coherent, at least in the neghborbood of that kinetic unit which is transforming, and to be essentially parallel to a low index lattice plane of I. On the interface there are steps (or a step, if it is the periphery of a two-dimensional nucleus) and on the steps there are kinks. In Fig. 14 a section parallel to the interface is shown cutting through a step ABCD with a kink at BC. The two lattices are indicated as being strained in the neighborhood of the kink, the result of a decrease in volume on transformation. Transformation is assumed to occur in the following manner. [Pg.147]

Figure Bl.21.1. Atomic hard-ball models of low-Miller-index bulk-temiinated surfaces of simple metals with face-centred close-packed (fee), hexagonal close-packed (licp) and body-centred cubic (bcc) lattices (a) fee (lll)-(l X 1) (b)fcc(lO -(l X l) (c)fcc(110)-(l X 1) (d)hcp(0001)-(l x 1) (e) hcp(l0-10)-(l X 1), usually written as hcp(l010)-(l x 1) (f) bcc(l 10)-(1 x ]) (g) bcc(100)-(l x 1) and (li) bcc(l 11)-(1 x 1). The atomic spheres are drawn with radii that are smaller than touching-sphere radii, in order to give better depth views. The arrows are unit cell vectors. These figures were produced by the software program BALSAC [35]-... Figure Bl.21.1. Atomic hard-ball models of low-Miller-index bulk-temiinated surfaces of simple metals with face-centred close-packed (fee), hexagonal close-packed (licp) and body-centred cubic (bcc) lattices (a) fee (lll)-(l X 1) (b)fcc(lO -(l X l) (c)fcc(110)-(l X 1) (d)hcp(0001)-(l x 1) (e) hcp(l0-10)-(l X 1), usually written as hcp(l010)-(l x 1) (f) bcc(l 10)-(1 x ]) (g) bcc(100)-(l x 1) and (li) bcc(l 11)-(1 x 1). The atomic spheres are drawn with radii that are smaller than touching-sphere radii, in order to give better depth views. The arrows are unit cell vectors. These figures were produced by the software program BALSAC [35]-...
Figure Bl.21.2. Atomic hard-ball models of stepped and kinked high-Miller-index bulk-temiinated surfaces of simple metals with fee lattices, compared with anfcc(l 11) surface fcc(755) is stepped, while fee... Figure Bl.21.2. Atomic hard-ball models of stepped and kinked high-Miller-index bulk-temiinated surfaces of simple metals with fee lattices, compared with anfcc(l 11) surface fcc(755) is stepped, while fee...
The existence of active sites on surfaces has long been postulated, but confidence in the geometric models of kink and step sites has only been attained in recent years by work on high index surfaces. However, even a lattice structure that is unreconstructed will show a number of random defects, such as vacancies and isolated adatoms, purely as a result of statistical considerations. What has been revealed by the modern techniques described in chapter 2 is the extraordinary mobility of surfaces, particularly at the liquid-solid interface. If the metal atoms can be stabilised by coordination, very remarkable atom mobilities across the terraces are found, with reconstruction on Au(100), for example, taking only minutes to complete at room temperature in chloride-containing electrolytes. It is now clear that the... [Pg.11]

Electron crystallography of textured samples can benefit from the introduction of automatic or semi-automatic pattern indexing methods for the reconstruction of the three-dimensional reciprocal lattice from two-dimensional data and fitting procedures to model the observed diffraction pattern. Such automatic procedures had not been developed previously, but it is the purpose of this study to develop them now. All these features can contribute to extending the limits of traditional applications such as identification procedures, structure determination etc. [Pg.126]

Vibrations in a real crystal are described by the lattice dynamical theory, discussed in section 2.1, rather than by the atomic oscillator model. Each harmonic phonon mode with branch index k and wavevector q then has, analogous to Eq. [Pg.40]

The lattice-gas model allows to use it for studying the effect of the lateral interactions between the adspecies on the surface process rate or, in other words, to consider the non-ideality of the reaction system in the surface process kinetics. In the lattice-gas model the interaction of adspecies / and j in sites / and g at the distance r is set by the energy parameter sjg(r). In the homogeneous lattice systems such distances can be conveniently determined with the use of the numbers of the (c.s.) where site g is located relative to site /. In this case in the parameter y(r) the index r runs a discrete series of values from 1 to R, where R is the interaction radius 1 1) = 0, one deals with the nearest-neighbors... [Pg.363]

For application, Eq. (II.4) has to be considerably simplified. The simplest model is the assumption of point charges. We take the crystal lattice as composed from the point charges nte, where e is the elementary charge. The index i, o < i k, distinguishes the different kinds of charged points (particles) within the lattice. Assuming the system of crystal axes already transformed to the principal axes system of the tensor, we calculate the coupling constant from... [Pg.10]


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See also in sourсe #XX -- [ Pg.56 ]




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