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Statistical coordinate basis

One of the important issues addressed in our simulations is the character of clusters under study. Are these clusters solid or liquid rmder experimental conditions If they arc liquid, then the distribution wc observe in the pick-up and consequently in the photodissociation simulations corresponds to a statistical distribution at a. given temperature. If, however, the cluster is solid then both in the simulations and in the cxj)eriment we observe a quasi-stationary state with a very long lifetime rather than an equilibrium thermodynamical state. This question can be resolved by means of the instantaneous normal modes (INM) density of states (DOS) spectrum. To calculate INM DOS wc construct the Hessian matrix in a mass-weighted atomic Cartesian coordinate basis of N atoms with /r=. r, y, z. The 3N eigenvectors in the form Ci -.Cjj,Cj-,C2, C2/,C2-,.c.vj.,ca/j,c.v de-... [Pg.478]

The effects of these ligands on the second-order rate constants for the Cu (ligand) catalysed reaction of Ic with 2 are modest In contrast, the effects on IC2 are more pronounced. The aliphatic Oramino acids induce an approximately two-fold reduction of Iv relative to for the Cu" aquo ion. For the square planar coordinated copper ions this effect is expected on the basis of statistics. The bidentate ligands block half the sites on the copper centre. [Pg.175]

Statistical properties of a data set can be preserved only if the statistical distribution of the data is assumed. PCA assumes the multivariate data are described by a Gaussian distribution, and then PCA is calculated considering only the second moment of the probability distribution of the data (covariance matrix). Indeed, for normally distributed data the covariance matrix (XTX) completely describes the data, once they are zero-centered. From a geometric point of view, any covariance matrix, since it is a symmetric matrix, is associated with a hyper-ellipsoid in N dimensional space. PCA corresponds to a coordinate rotation from the natural sensor space axis to a novel axis basis formed by the principal... [Pg.154]

Manes and Manes-Pozzi have suggested a cluster of the type (Vq 2 Me ), which has been taken as the basis species for a statistical treatment aimed at the interpretation of the thermodynamic data on (Ui yPUy)02 x and Pu02 x. This cluster has later been called by Manes, Sdrensen et al. the tetrahedral defect The reason of this name lies in the fact that the local bond is supposed to occur in a coordination tetrahedron of an oxygen ion in the fluorite structure in this tetrahedron, one oxygen vacancy is formed, and the two electrons are shared with the four surrounding cations, giving rise (formally) to 2(Me ) locally bonded with the vacancy. Manes, Sorensen et al. showed that by... [Pg.121]

Sometimes it is dangerous to estimate the statistical A1 content of a tetrahedral (T—) site on the basis of the averaged T-0 distance for this tetrahedron. T-0 varies with T-O-T angle and the cation coordination (5) and possibly other factors such as hydrogen bonds. For bond lengths which are systematically shortened by idealized high symmetries see Meier s discussion (8). [Pg.40]

In the remaining part of Section II.A we review the formal relationship of C(t) to fundamental quantities in the statistical mechanical description of solvation. The derivation we review is adopted from the work of Van der Zwan and Hynes. A useful result of the derivation is that a physical basis for the solvent coordinate in Figure 1 is established [54], The reader is referred to papers by Bagchi et al. [53], and Sumi and Marcus [54] for related treatments. [Pg.8]

There are two basic approaches to the computer simulation of liquid crystals, the Monte Carlo method and the method known as molecular dynamics. We will first discuss the basis of the Monte Carlo method. As is the case with both these methods, a small number (of the order hundreds) of molecules is considered and the difficulties introduced by this restriction are, at least in part, removed by the use of artful boundary conditions which will be discussed below. This relatively small assembly of molecules is treated by a method based on the canonical partition function approach. That is to say, the energy which appears in the Boltzman factor is the total energy of the assembly and such factors are assumed summed over an ensemble of assemblies. The summation ranges over all the coordinates and momenta which describe the assemblies. As a classical approach is taken to the problem, the summation is replaced by an integration over all these coordinates though, in the final computation, a return to a summation has to be made. If one wishes to find the probable value of some particular physical quantity, A, which is a function of the coordinates just referred to, then statistical mechanics teaches that this quantity is given by... [Pg.141]

Fluoride binds Al + strongly, and at the 1 ppm level where it is added to acidic drinking water, most aluminum appears as AIF2+ and as neutral AIF3. " In mixed complexes of Al +, ADP, and F , the ternary complex appears with the frequency expected statistically on the basis of binary complex stabilities." Contrary to a common misconception, when bound to proteins (such as G-proteins), fluoride complexes of Al + do not contain a tetrahedral, four-coordinate metal ion but hexacoordinate Al + with six donor atoms. " ... [Pg.2616]

As mentioned above, solution chemistry was bom at the end of the 19th century and developed on the basis of thermodynamics and statistical thermodynamics. Main fields supporting the solution chemistry were physical chemistry and coordination chemistry, which also absorbed some other parts of chemistry in order to establish an interdisciplinary field of chemistry in 1950-1960. Even in this period, however, solvent, e.g, water, was recognized as a continuum in most studies except for some works on ionic hydration, and thus, molecular picture of water was not clearly recognized. In modem solution chemistry, ion-solvent and ion-ion interactions should be depicted more clearly at the molecular level. [Pg.5]

The term chelate effect was first used in 1952 by Schwarzenbach (15). To demonstrate the nature of the chelate effect he used as models a bidentate ligand and two unidentate ligands which form coordinate bonds of equivalent strength with a metal ion. He predicted increased stability for the metal chelate on the basis of statistical considerations. The model required a zero heat of reaction in the replacement of two unidentate ligands by one bidentate chelating ligand, so that the stabilizing chelate effect must be an entropy effect. [Pg.275]


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See also in sourсe #XX -- [ Pg.114 ]




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Basis coordinates

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