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Dispersion contribution

A related approach carries out lattice sums using a suitable interatomic potential, much as has been done for rare gas crystals [82]. One may also obtain the dispersion component to E by estimating the Hamaker constant A by means of the Lifshitz theory (Eq. VI-30), but again using lattice sums [83]. Thus for a FCC crystal the dispersion contributions are... [Pg.270]

Axilrod and Teller investigated the three-body dispersion contribution and showed that the leading term is ... [Pg.231]

Sorbed pesticides are not available for transport, but if water having lower pesticide concentration moves through the soil layer, pesticide is desorbed from the soil surface until a new equiUbrium is reached. Thus, the kinetics of sorption and desorption relative to the water conductivity rates determine the actual rate of pesticide transport. At high rates of water flow, chances are greater that sorption and desorption reactions may not reach equihbrium (64). NonequiUbrium models may describe sorption and desorption better under these circumstances. The prediction of herbicide concentration in the soil solution is further compHcated by hysteresis in the sorption—desorption isotherms. Both sorption and dispersion contribute to the substantial retention of herbicide found behind the initial front in typical breakthrough curves and to the depth distribution of residues. [Pg.223]

Having established that a finite volume of sample causes peak dispersion and that it is highly desirable to limit that dispersion to a level that does not impair the performance of the column, the maximum sample volume that can be tolerated can be evaluated by employing the principle of the summation of variances. Let a volume (Vi) be injected onto a column. This sample volume (Vi) will be dispersed on the front of the column in the form of a rectangular distribution. The eluted peak will have an overall variance that consists of that produced by the column and other parts of the mobile phase conduit system plus that due to the dispersion from the finite sample volume. For convenience, the dispersion contributed by parts of the mobile phase system, other than the column (except for that from the finite sample volume), will be considered negligible. In most well-designed chromatographic systems, this will be true, particularly for well-packed GC and LC columns. However, for open tubular columns in GC, and possibly microbore columns in LC, where peak volumes can be extremely small, this may not necessarily be true, and other extra-column dispersion sources may need to be taken into account. It is now possible to apply the principle of the summation of variances to the effect of sample volume. [Pg.194]

It is clear that, in LC, the resistance to mass transfer in the mobile phase (albeit within the pores of the particle) is much greater than the resistance to mass transfer in the stationary phase and, thus, simplifying equations (23) and (24), by ignoring the dispersion contribution from the resistance to mass transfer in the stationary phase, will be quite valid. [Pg.280]

Hamaker [32] first proposed that surface forces could be attributed to London forces, or the dispersion contribution to van der Waals interactions. According to his model, P is proportional to the density of atoms np and s in the particle and substrate, respectively. He then defined a parameter A, subsequently becoming known as the Hamaker constant, such that... [Pg.147]

Fowkes [107] has argued that the van der Waals contribution to the work of adhesion in solids arises mainly from the dispersion forces. Moreover, the work of adhesion can be approximated by the geometric mean of the dispersion contributions to the surface energies yf and according to... [Pg.178]

In connection with electronic strucmre metlrods (i.e. a quantal description of M), the term SCRF is quite generic, and it does not by itself indicate a specific model. Typically, however, the term is used for models where the cavity is either spherical or ellipsoidal, the charge distribution is represented as a multipole expansion, often terminated at quite low orders (for example only including the charge and dipole terms), and the cavity/ dispersion contributions are neglected. Such a treatment can only be used for a qualitative estimate of the solvent effect, although relative values may be reasonably accurate if the molecules are fairly polar (dominance of the dipole electrostatic term) and sufficiently similar in size and shape (cancellation of the cavity/dispersion terms). [Pg.396]

The Polarizable Continuum Model (PCM) employs a van der Waals surface type cavity, a detailed description of the electrostatic potential, and parameterizes the cavity/ dispersion contributions based on the surface area. The COnductor-like Screening... [Pg.396]

Most studies concerning pyrimidines originate from biochemical questions. Since these systems are dominated by hydrogen-bonding and/or dispersion contributions, methods beyond the Hartree-Fock level are mandatory. The success of quantum chemical studies in this field is impressive and many effects could be explained on the basis of these theoretical investigations. [Pg.85]

If we compare results obtained with the same basis sets with the three coupled cluster models CCS, CC2 and CCSD, we find similar trends as observed in Refs. [22,45] The CCS model underestimates strongly the static hyperpolarizabilities and their dispersion. The results are usually of similar quality as those obtained with SCF. For methane, the CCS static hyperpolarizabilities are intermediate between the SCF and the CCSD values obtained in the same basis set. In Ref. [45] the CCS percentage dispersion contribution to the third harmonic generation (THG) hyperpolarizability of methane was found to be slightly smaller than for SCF, both underestimating significantly the dispersion obtained with the correlated coupled cluster models CC2 and CCSD. Accordingly the CCS dispersion coeflBcients listed in Table 3 are substantially smaller than the respective CCSD results obtained in the same basis sets. [Pg.137]

The phase-twisted peak shapes (or mixed absorption-dispersion peak shape) is shown in Fig. 3.9. Such peak shapes arise by the overlapping of the absorptive and dispersive contributions in the peak. The center of the peak contains mainly the absorptive component, while as we move away from the center there is an increasing dispersive component. Such mixed phases in peaks reduce the signal-to-noise ratio complicated interference effects can arise when such lines lie close to one another. Overlap between positive regions of two different peaks can mutually reinforce the lines (constructive interference), while overlap between positive and negative lobes can mutually cancel the signals in the region of overlap (destructive interference). [Pg.166]

Peaks in homonuclear 2D /-resolved spectra have a phase-twisted line shape with equal 2D absorptive and dispersive contributions. If a 45° projection is performed on them, the overlap of positive and negative contributions will mutually cancel and the peaks will disappear. The spectra are therefore presented in the absolute-value mode. [Pg.234]

Fig. 7.39 " Ta (62 keV) Mossbauer spectrum of in W metal versus Ta metal absorber at room temperature. The solid line represents the fit of a dispersion-modified Lorentzian line to the experimental data the dashed line shows the dispersion contribution (from [179, 185])... Fig. 7.39 " Ta (62 keV) Mossbauer spectrum of in W metal versus Ta metal absorber at room temperature. The solid line represents the fit of a dispersion-modified Lorentzian line to the experimental data the dashed line shows the dispersion contribution (from [179, 185])...
In reproductive contexts, chemosignalling is generally universal across the major groups. Induction of scent dispersal contributes to mating itself and to its consequences in infant survival (Fig. 7.10). [Pg.177]

Such constraints imply the non-orthogonality of the orbitals. The optimal virtual orbitals A and are determined accordingly to the approximation that they separately maximize the dispersion contribution of each of the NA NB two configuration wave functions... [Pg.109]

BSSE also opposes the tendency of the Hartree-Fock model to keep the interacting closed shell fragments too far apart. So, when optimized geometries are considered for the complex, BSSE is found to mimic some of those effects on the electron density distribution which would be induced by the interfragment dispersion contributions. [Pg.123]

To summarize, in the field of lyotropic cholesterics formed by helical polymers of known geometry, it is possible to predict qualitatively only the entropic steric contribution to the cholesteric twist The prediction relies on the model of Figure 7.4 and should be compared to the experimental Sq data obtained by extrapolation of the twist to l/T = 0. A practical model for calculating the often dominant dispersion contribution is not yet available. [Pg.441]

Dispersion interactions have been shown in the absence of other effects to be responsible for gas-to-liquid changes of chemical shifts 1>2). The dispersion contribution to the electric field effect on infrared and ultraviolet spectral transitions has been shown to be proportional to McRae term 10 n)... [Pg.126]

The dispersive contributions due to plume spreading (given by and Z ) are statistically independent of the contributions due to plume meandering (given by 5 and 5 ). The fluctuating plume model is depicted in Fig. 3. [Pg.248]

It has been demonstrated that radial dispersion contributes more significantly to the dilution of the sample in the flow than does axial dispersion. This type of fluid movement, termed secondary flow by Tijssen [43], results in a washout effect accounting for the low mutual contamination of samples successively injected into a carrier stream. TTiis advantageous feature is a result of the use of low flow rates and small tubing bores, and results in decreased peak-width and hence to increased sampling rate. [Pg.61]


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Axial dispersion contribution

Contribution of dispersion

Dispersion Contributions Distributed Polarizabilities

Dispersion phenomena contributing effects

Lineshape dispersive contributions

Nonaqueous dispersions contributions

Solvatochromic shift dispersion contribution

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