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Vector addition model

The most well-known and at the same time the earliest computer model for a molecular structure representation is a wire frame model (Figure 2-123a). This model is also known under other names such as line model or Drciding model [199]. It shows the individual bonds and the angles formed between these bonds. The bonds of a molecule are represented by colored vector lines and the color is derived from the atom type definition. This simple method does not display atoms, but atom positions can be derived from the end and branching points of the wire frame model. In addition, the bond orders between two atoms can be expressed by the number of lines. [Pg.132]

I like to recall his [M. von Lane s] question as to which results derived in the present volume I considered most important. My answer was that the explanation of Laporte s rule (the concept of parity) and the quantum theory of the vector addition model appeared to me most significant. Since that time, I have come to agree with his answer that the recognition that almost all rules of spectroscopy follow from the symmetry of the problem is the most remarkable result. [Pg.14]

Dipole moments have been measured for four of the parent thienopyridines. Experimentally obtained data were similar to the predictions based upon vector addition using model compounds. The data are summarized in Table 34 <75JHC615>. [Pg.187]

An independent method to identify the stochastic errors of impedance data is described in Chapter 21. An alternative approach has been to use the method of maximum likelihood, in which the regression procedure is used to obtain a joint estimate for the parameter vector P and the error structure of the data. The maximum likelihood method is recommended under conditions where the error structure is unknown, but the error structure obtained by simultaneous regression is severely constrained by the assumed form of the error-variance model. In addition, the assumption that the error variance model can be obtained by minimizing the objective function ignores the differences eimong the contributions to the residual errors shown in Chapter 21. Finedly, the use of the regression procedure to estimate the standard deviation of the data precludes use of the statistic... [Pg.382]

The problem input to the full model now includes more than the vector of characteristics used in the performance and learning models. In addition to this vector - which remains the input to the connectionist part of the hybrid model - problem input consists of specific detail about the quantities found in the problem. This information is encoded by dividing the problem into several clauses. [Pg.380]

In a certain fortunate case the molecular-state zero-field Hamiltonian adopts a diagonal form. Then a vector addition model assumes the validity. [Pg.722]

The rotational PEDs for the dissociation of state-selected NO2 have been measured and analyzed using both the prior model and PST (Robie et al., 1992 Hunter et al., 1993). A convenient approximation is to assume that the product energy distributions are independent of the NO2 M and K quantum numbers. Three product angular momenta, 7no> - o> and must be combined to add up to the total angular momentum, convenience, the NO ii value is included in the Jj q term thereby adding either 0.5 or 1.5 to the rotational quantum number. The angular momenta are combined in two steps. The intermediate J is introduced which is defined by the vector addition J = Jno + that... [Pg.341]

AB cos A A = odor intensity of component A, B = odor intensity of component B, Mixture = odor intensity of the mixture, cosA= cosine of the angle separating these vectors). Laffort and Dravnieks suggested another ("U") model of additivity which seems more tractable (5). [Pg.23]

The magnetic fields B+ and B acting on a magnetic nucleus is in the direct field model obtained by vector addition of Bn due to the externally applied magnetic field, and Ba due to the magnetic moment of the electron. [Pg.198]

A Vector Addition Model for Bond Moments in Allenes. 336... [Pg.315]

A most widely used method for the prediction of molecular dipole moments is the empirical vector addition of bond moments (45). It involves the concept of point dipoles situated in the directions of the individual bonds artd assumes that the magnitudes of the dipoles are transferable from one molecule to another. For allenes a somewhat modified approach has been established which is of relevance in connection with the discussion of influences of electrostatic field effects on spectroscopic properties of allenes (24 25) (Section III.D). This model uses fixed origines and Hxed orientations for all the different (point dipole) bond moments in substituted allenes. As the origins of the point dipoles the positions of the hydrogen atoms in allene (11) have been used (24). The directions of the dipole moments are assumed to make an angle of 40 with the C==C=C axis (Fig. 6) which represents an average value of experimental directions of dipole moments in differently substituted allenes (24). [Pg.337]

The vector addition model for allenes conforms to the concepts of the Z>2rf-molecular models outlined in Section II.A. Within the preceding model it suffices to characterize each substituent by one numerical (positive or negative) value n R), the magnitude of the group moment of the substituent R in the al-lenic system. [Pg.337]

This correction is actually two separate algorithms that are usually applied together. SNV is applied first to correct for the effects of the multi-pUcative interferences of scatter and particle size, similar to MSC. Detrending usually follows to attempt to remove the additional variations in baseline shift and curvilinearity typically present in diffuse reflectance spectra. Although, in some cases, applying SNV alone can be more useful for interpretation of the of the final model vectors. Detrending is not usually applied alone it is either used after the SNV correction or not used at all. [Pg.147]

The model has the particularity of considering all possible concurrent transportations and transformations for the same operation (different instances within the superstructure) as well as all raw material producers and re-users. The pollutant is added up for all the different types of waste. The limits on the total waste production and global environment impacts are introduced in the form of waste and pollution vectors, added to the model as additional restrictions. Those limits derive directly from legal regulations for the pollutants considered. [Pg.97]

If the electrical equivalent circuit model is a series connection of model elements, the overall model equation is the vector addition of the single model element equations in time domain and frequency domain, respectively. Time domain correspondences for single model elements to certain excitation signals can be calculated analytically as described in the following sections. In general these transformations can be easily computed for models consisting of lumped elements. For models containing distributed elements, fractional calculus is required. [Pg.6]

Of investigations of the qualitative structure of these spectra, up to now the seminal investigations of F. Hund have to be mentioned here the solution is attempted partly in a quantum-mechanical way, and pzuiily by the correspondence principle. Especially important, in our opinion, is the idea of an adiabatic combination of the two atoms into a molecule, which is based on the vector addition model. The ideas of Pranck-Condon provide a direct physical picture for the process of combination of atoms, or their separation, at the band convergence point. We furthermore... [Pg.287]

Molecules are usually represented as 2D formulas or 3D molecular models. WhOe the 3D coordinates of atoms in a molecule are sufficient to describe the spatial arrangement of atoms, they exhibit two major disadvantages as molecular descriptors they depend on the size of a molecule and they do not describe additional properties (e.g., atomic properties). The first feature is most important for computational analysis of data. Even a simple statistical function, e.g., a correlation, requires the information to be represented in equally sized vectors of a fixed dimension. The solution to this problem is a mathematical transformation of the Cartesian coordinates of a molecule into a vector of fixed length. The second point can... [Pg.515]


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See also in sourсe #XX -- [ Pg.722 ]




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