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Shape complexity coefficient

Fig. 3.10 Determination of shape complexity coefficient (Q) - category A shape classification. Fig. 3.10 Determination of shape complexity coefficient (Q) - category A shape classification.
Collision-induced dipoles manifest themselves mainly in collision-induced spectra, in the spectra and the properties of van der Waals molecules, and in certain virial dielectric properties. Dipole moments of a number of van der Waals complexes have been measured directly by molecular beam deflection and other techniques. Empirical models of induced dipole moments have been obtained from such measurements that are consistent with spectral moments, spectral line shapes, virial coefficients, etc. We will briefly review the methods and results obtained. [Pg.153]

The important parameter is the coupling coefficient between the ionic and the covalent curves. Since the observed spectrum lies in the vicinity of the covalent curve, this implies that the coupling term is small (=0.1 eV), which has been interpreted as the effect of the ground state—a small coupling being expected for the T-shaped complex (Jouvet et al. 1987). [Pg.108]

Remark a proper choice of the polarization permits to modify the real and imaginary parts of the matrix elements and different phases of the complex coefficients A] and A25 it is possible to keep in the calculation the imaginary part of the above integral that gives a dispersion shape, instead of the absorption shape of Fig. 7). [Pg.160]

Having defined it is necessary to determine the design-dependent factors. The variables, shape complexity, tolerances, etc. modify the relationship between the curves. The relative cost coefficient in Equation (3.1) is one way in which these variables can be expressed. [Pg.252]

Alumina (AI2O3) was one of the first pure oxides to be produced in complex shapes, but its combination of high expansion coefficient, poor conductivity and low toughness gives it bad thermal-shock resistance. [Pg.206]

For more complex shapes, numerical solutions may be needed coefficients obtained by testing of simple samples can be applied to realistic geometries for components of the same material. [Pg.636]

In the preceding sections this trend of research was due to serious developments of the Russian and western scientists. Specifically, the method for solving difference equations approximating an elliptic equation with variable coefficients in complex domains G of arbitrary shape and configuration is available in Section 8 with placing special emphasis on real advantages of MATM in the numerical solution of the difference Dirichlet problem for Poisson s equation in Section 9. [Pg.708]

The finite-element method (FEM) is based on shape functions which are defined in each grid cell. The imknown fimction O is locally expanded in a basis of shape fimctions, which are usually polynomials. The expansion coefficients are determined by a Ritz-Galerkin variational principle [80], which means that the solution corresponds to the minimization of a functional form depending on the degrees of freedom of the system. Hence the FEM has certain optimality properties, but is not necessarily a conservative method. The FEM is ideally suited for complex grid geometries, and the approximation order can easily be increased, for example by extending the set of shape fimctions. [Pg.148]

However, often the minimum in Si or Ti which is reached at first is shallow and thermal energy will allow escape into other areas on the Si or Ti surface before return to So occurs (Fig. 3, path e). This is particularly true in the Ti state which has longer lifetimes due to the spin-forbidden nature of both its radiative and non-radiative modes of return to So-The rate of the escape should depend on temperature and is determined in the simplest case by the height and shape of the wall around the minimum, similarly as in ground state reactions (concepts such as activation energy and entropy should be applicable). In cases of intermediate complexity, non-unity transmission coefficients may become important, as discussed above. Finally, in unfavorable cases, vibronic coupling between two or more states has to be considered at all times and simple concepts familiar from ground-state chemistry are not applicable. Pres-... [Pg.21]

According to these equations, for a given separation system, the main parameters involved in the separation of SDS-protein complexes are the electric force, the frictional force, and the retardation coefficient. These parameters are in turn affected by the strength of the electric field, molecular charge, analyte shape and size, polymer concentration, and temperature. [Pg.210]

The hooked-shaped dependence of on the hydroxide-ion concentration has now been obtained for reaction of the monoanions of substituted 4-phenylazoresorcinols [58]-[62] (Perlmutter-Hayman et al., 1976 Briffett et al., 1988), 2-phenylazoresorcinol [63] (Hibbert and Sellens, 1988), 4,6-bis(phenylazo)resorcinols [64] and [65] (Hibbert and Simpson, 1983, 1985) and 2,4-bis(phenylazo)resorcinol [66] (Hibbert and Simpson, 1985). The 4-phenylazoresorcinols and the bis(phenylazo)resorcinols were studied in aqueous solution, and 2-phenylazoresorcinol was studied in 95% (v/v) MejSO-HjO. The values of the rate coefficients which give rise to this complex dependence are very finely balanced a slight change in substituent or other modification of the structure or reaction conditions can lead to a quite different kinetic behaviour (see later). For compounds [58]-[66], which show the complex dependence, the values of the rate coefficients are given in Table 15. [Pg.335]

The methods described above are appropriate for simple ions, but not for the calculation of the activity coefficients of more complex compounds such as zwitterions, i.e., those which bear more than one functional group, have a low molecular weight, which is arbitrarily put at less than 500, and are approximately spherical in shape so that both the quasi-spherical assumption used in the van der Waals integral and the present definition of cavity area are satisfied. Many substances of interest... [Pg.108]

Because of this, there is a real need for designing the general method, by means of which economical schemes can be created for equations with variable and even discontinuous coefficients as well as for quasilinear non-stationary equations in complex domains of arbitrary shape and dimension. As a matter of experience, the universal tool in such obstacles is the method of summarized approximation, the framework of which will be explained a little later on the basis of the heat conduction equation in an arbitrary domain G of the dimension p with the boundary F... [Pg.591]

Ribosomes are large complexes of protein and rRNA (Figure 31.8). They consist of two subunits—one large and one small—whose relative sizes are generally given in terms of their sedimentation coefficients, or S (Svedberg) values. [Note Because the S values are determined both by shape as well as molecular mass, their numeric values are not strictly additive. For example, the prokaryotic 50S and 30S ribosomal subunits together form a ribosome with an S value of 70. The eukaryotic 60S and 40S subunits form an 80S ribosome.] Prokaryotic and eukaryotic ribosomes are similar in structure, and serve the same function, namely, as the "factories" in which the synthesis of proteins occurs. [Pg.433]


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See also in sourсe #XX -- [ Pg.255 ]




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