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Internal coordinate correlation

In our non-BO calculations performed so far, we have considered atomic systems with only -electrons and molecular systems with only a-electrons. The atomic non-BO calculations are much less complicated than the molecular calculations. After separation of the center-of-mass motion from the Hamiltonian and placing the atom nucleus in the center of the coordinate system, the internal Hamiltonian describes the motion of light pseudoelectrons in the central field on a positive charge (the charge of the nucleus) located in the origin of the internal coordinate system. Thus the basis functions in this case have to be able to accurately describe only the electronic correlation effect and the spherically symmetric distribution of the electrons around the central positive charge. [Pg.396]

Sample calculations were carried out on H2, H, and H3. Geometry optimizations were carried out in internal coordinates. The projection operators used in the expansion (4) represented a singlet state for H2 and and a doublet state for H3. Starting geometries that were used are given in Table XVI. The initial wave functions were centered at the nuclei. For all of the initial functions the correlation parameters were set to zero (that is, the matrices A were... [Pg.464]

Therefore the scaling transformation of the quantum-mechanical force field is an empirical way to account for the electronic correlation effects. As far as the conditions listed above are not always satisfied (e.g. in the presence of delocalized 7r-electron wavefunctions) the real transformation is not exactly homogeneous but rather of Puley s type, involving n different scale constants. The need of inhomogeneous Puley s scaling also arises due to the fact that the quantum-mechanical calculations are never performed in the perfect Hartree-Fock level. The realistic calculations employ incomplete basis sets and often are based on different calculation schemes, e.g. semiempirical hamiltonians or methods which account for the electronic correlations like Cl and density-functional techniques. In this context we want to stress that the set of scale factors for the molecule under consideration is specific for a given set of internal coordinates and a given quantum-mechanical method. [Pg.344]

From what has been shown in the preceding sections (cf. Eqs. 61 and 73, 83), it is possible to present the molecular structure resulting from both the r -fit method and any of the r()-derived methods in a convenient and easily comparable form, as a structural description in both Cartesian and internal coordinates, and with consistent errors and correlations (for small and larger molecules). A detailed comparison would require a sufficiently large SDS to determine a complete molecular structure, but the requirements are still the least restrictive of all methods presented. The input data must include the covariance matrix of the rotational constants or moments. This matrix may have to be adequately modeled to avoid grossly different weighting of isotopomers which is usually not warranted. The definition of the input data set... [Pg.110]

Finally, one should note the need for correspondence between the independent variables involved in the specification of dE and dW both must be formulated in terms of changes of internal coordinates. If dW also includes any changes in potential energy that leave the internal coordinates unaltered, then this quantity must be correlated with dU, where U is the total energy of the system. These matters are illustrated in Chapter 6. [Pg.59]

The advantage of this coordinate system is that it corresponds to a chemist s thinking and that the obtained parameters can easily be correlated to other properties, such as bond length, ionic character, activation or formation energy, etc. The problem of defining a complete set of internal coordinates has been treated by Decius (Decius, 1949). The transformation from Cartesian X to internal R coordinates proceeds via the B matrix. [Pg.448]

Figures commonly discussed as recently as a decade ago included internal coordinates in conjunction with the location and height of deformation density peaks [12]. Most recent studies [13], on the other hand, analyze correlations between density-topological indices that require precise parameter estimates of ED models fitted to high quality and resolution intensity data. Significant improvements of experimental conditions over the past few years have resulted in an unprecedented flow of reliable XRD data. Charge-coupled devices (CCD)... Figures commonly discussed as recently as a decade ago included internal coordinates in conjunction with the location and height of deformation density peaks [12]. Most recent studies [13], on the other hand, analyze correlations between density-topological indices that require precise parameter estimates of ED models fitted to high quality and resolution intensity data. Significant improvements of experimental conditions over the past few years have resulted in an unprecedented flow of reliable XRD data. Charge-coupled devices (CCD)...
The remaining chapters in this book are organized as follows. Chapter 2 provides a brief introduction to the mesoscale description of polydisperse systems. There, the mathematical definition of a number-density function (NDF) formulated in terms of different choices for the internal coordinates is described, followed by an introduction to population-balance equations (PBE) in their various forms. Chapter 2 concludes with a short discussion on the differences between the moment-transport equations associated with the PBE and those arising due to ensemble averaging in turbulence theory. This difference is very important, and the reader should keep in mind that at the mesoscale level the microscale turbulence appears in the form of correlations for fluid drag, mass transfer, etc., and thus the mesoscale models can have non-turbulent solutions even when the microscale flow is turbulent (i.e. turbulent wakes behind individual particles). Thus, when dealing with turbulence models for mesoscale flows, a separate ensemble-averaging procedure must be applied to the moment-transport equations of the PBE (or to the PBE itself). In this book, we are primarily... [Pg.27]

Ap is the difference in material density between the liquid and gas phases. This situation is typically handled by describing the bubbles with a single internal coordinate (i.e. the equivalent-sphere diameter) and by introducing an aspect ratio, defined as the ratio between the minor and the major axes of the bubble. This aspect ratio E can be calculated by using the empirical equation proposed by Moore (1965) as a function of the Morton number E = 1/(1 + 0.043RCp Mo ). An alternative to this is the use of the correlation proposed by Wellek et al. (1966) for liquid-liquid droplets E = 1/(1 + 0.1613Eo° ), which is valid for Eo < 40 and Mo < 10 , whereas for Eo > 40 and RCp > 1.2 fluid particles are typically of spherical shape. Once the characteristic E value is known, the ratio of the real area of the bubble Ap and the area Aeq of a sphere with an equivalent volume can be calculated as follows ... [Pg.157]

In the remainder of this section, we introduce the principal modeling issues related to spatial transport using moment methods. First, we discuss the realizability of the NDF and of moment sets (which are related to the numerical errors discussed above). Second, we introduce the phenomenon of particle trajectory crossing (PTC) that occurs with the inhomogeneous KE (and is exactly captured by the NDF), and describe how it leads to a closure problem in the moment-transport equations. Next, we look at issues related to coupling between spatial and phase-space transport in the GPBE (i.e. due to correlations between velocity and internal coordinates such as particle volume). Finally, we introduce KBFVM for solving the moment-transport equations in connection with QBMM, and briefly discuss how they can be used to ensure realizability as well as to capture PTC and to treat coupled moments. [Pg.330]

Both the ring puckering and the carbonyl wagging motions are needed for the description the low frequency modes of cyclobutanone. Energy points on a grid defined by selected values of the internal coordinates were obtained from fully optimized Hartree-Fock calculations with Moller Plesset corrections for electron correlation. These data points were fitted to the power series expansion... [Pg.348]

Molecular structures may be described and compared in terms of external or internal coordinates. The question of which is to be preferred depends on the type of problem that is to be solved. For example, one problem that is much easier to solve in a Cartesian system is that of finding the principal inertial axes of a molecule indeed, if only internal coordinates are given then, in general, the first step is to convert them to Cartesian ones and then proceed as described in Section 1.2.4. Similarly, the optimal superposition of two or more similar molecules or molecular fragments, i.e. with the condition of least-squared sums of distances between all pairs of corresponding atoms, is best done in a Cartesian system. On the other hand, systematic trends in a collection of molecular structures and correlations among their structural parameters are more readily detectable in internal coordinates. [Pg.18]

HOH bending coordinate correlates to rotation of the OH fragment at infinite separation of the products, leading to the high rotational excitation of the OH fragment. These two studies show that the measurement of the internal energy distribution of one of the fragments can be a sensitive probe of the mechanism and dynamics of the photochemistry. [Pg.286]


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See also in sourсe #XX -- [ Pg.312 , Pg.337 ]




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Internal coordinates

Internal correlation

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