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Predictions and Experimental Observations

Relaxations in the double layers between two interacting particles can retard aggregation rates and cause them to be independent of particle size [101-103]. Discrepancies between theoretical predictions and experimental observations of heterocoagulation between polymer latices, silica particles, and ceria particles [104] have promptetl Mati-jevic and co-workers to propose that the charge on these particles may not be uniformly distributed over the surface [105, 106]. Similar behavior has been seen in the heterocoagulation of cationic and anionic polymer latices [107]. [Pg.192]

No absolute correlations between theoretical predictions and experimental observations exist. [Pg.136]

Experimental probes of Born-Oppenheimer breakdown under conditions where large amplitude vibrational motion can occur are now becoming available. One approach to this problem is to compare theoretical predictions and experimental observations for reactive properties that are sensitive to the Born-Oppenheimer potential energy surface. Particularly useful for this endeavor are recombinative desorption and Eley-Rideal reactions. In both cases, gas-phase reaction products may be probed by modern state-specific detection methods, providing detailed characterization of the product reaction dynamics. Theoretical predictions based on Born-Oppenheimer potential energy surfaces should be capable of reproducing experiment. Observed deviations between experiment and theory may be attributed to Born-Oppenheimer breakdown. [Pg.392]

What is most surprising is the utility of the system in development work to obtain optimum application properties for the product. Our formulators have found that the evaporation curve (% evaporation vs. time) can be manipulated to improve different application properties (e.g., sagging, application lattitude, popping, etc.). Model predictions first provide base points, from which the formulator makes changes in the formulation and correlate the predictions with actual experimental observations. Correlation between model predictions and experimental observations appear to exist for most product lines. [Pg.175]

Figure 19 shows the predicted and experimentally observed time at which the formation of N2 reaches a maximum. As may be seen, the model provides a reasonably good description of the experimentally observed trend. The effect of H2 partial pressure on the time delay between the maximum in the production of H2O or NH3, and the maximum production of N2 is illustrated in Fig. 20. Here too, the calculated curves are in reasonable agreement with the experimental data and it is noted that the model predicts the same time delay for both NH3 and H2O under most circumstances. Figure 19 shows the predicted and experimentally observed time at which the formation of N2 reaches a maximum. As may be seen, the model provides a reasonably good description of the experimentally observed trend. The effect of H2 partial pressure on the time delay between the maximum in the production of H2O or NH3, and the maximum production of N2 is illustrated in Fig. 20. Here too, the calculated curves are in reasonable agreement with the experimental data and it is noted that the model predicts the same time delay for both NH3 and H2O under most circumstances.
All the surface recombination processes, including back reaction, can be incorporated in a heavy kinetic model [22]. The predicted, and experimentally observed, effect of the back reactions is the presence of a maximum in the donor disappearance rate as a function of its concentration [22], Surface passivation with fluoride also showed a marked effect on back electron transfer processes, suppressing them by the greater distance of reactive species from the surface. The suppression of back reaction has been verified experimentally in the degradation of phenol over an illuminated Ti02/F catalyst [27]. [Pg.369]

Figure 3 also illustrates that good agreement between the model prediction and experimental observation was obtained when Pe = 1130. The value for Pe was low on the basis of the correlation equation. Equation 31, which predicts a value of 5000. Perhaps the discrepancy in Pe values is not too surprising in view of the large scatter of the data from which Equation 31 was obtained. [Pg.35]

In contrast, most models of turbulent flame speeds assume homogeneous isotropic turbulence with no mean flow or strain. This leads to substantial differences between model predictions and experimental observations [4]. [Pg.243]

Therefore, a flexible method to evaluate physical and chemical system parameters is still needed (2, 3). The model identification technique presented in this study allows flexibility in model formulation and inclusion of the available experimental measurements to identify the model. The parameter estimation scheme finds the optimal set of parameters by minimizing the sum of the differences between model predictions and experimental observations. Since some experimental data are more reliable than others, it is advantageous to assign higher weights to the dependable data. [Pg.103]

Use Eq. (GG) to predict the critical concentration of gaseous H2S04 in ppb for nucleation at a relative humidity of 40% and a temperature of 25°C. How does this compare to the theoretical predictions and experimental observations shown in Fig. 9.30 ... [Pg.423]

The magnitude of the dispersion effect due to transverse or radial mixing can be assessed by relying on theoretical predictions " and experimental observations " which confirm that the value of the Peclet number Pe(= udp/D, where dp is the particle diameter) for transverse dispersion in packed tubes is approximately 10. At bed Reynolds numbers of around 100 the diffusion coefficient to be ascribed to radial dispersion effects is about four times greater than the value for molecular diffusion. At higher Reynolds numbers the radial dispersion effect is correspondingly larger. [Pg.167]

Figure 2.3 depicts comparison of the theoretical predictions and experimental observations of the potential response of a silver-selective electrode based on o-xylylenebis(/V,/V-diisobutyldithiocarbamate. Figure 2.3A demonstrates the potential response of an electrode that utilizes a classical experimental setup, i.e. concentrated inner solution (open circles) compared with theoretical prediction based on Eq. (2.2) (full line). The experimentally observed LOD of 10 7M corresponds poorly with the optimistic theoretical prediction of 4 x 10 15M. On the other hand, after optimization of the inner solution [19], the potential response is extended (Fig. 2.3B closed circles) and the detection limit is improved by almost three orders of magnitude to 3 x 10 10M. At the same time, an excellent correspondence between experimental observation and theoretical prediction was achieved by employing the extended Nikolskii-Eisenman equation (Eq. (2.4)—full line). This demonstrates the essential role of membrane fluxes in the potential response of ion-selective electrodes. (For all experimental and calculations parameters see the figure caption.)... [Pg.39]

In solution the decarboxylation of 1,3-dimethylorotic acid in sulfolane has been shown through a combination of theoretically predicted and experimentally observed isotope effects to proceed via protonation of the 4-oxygen. [Pg.214]

Table III. Predicted and Experimentally Observed Debonded Zone Sizes (13)... Table III. Predicted and Experimentally Observed Debonded Zone Sizes (13)...
Morrill, T. C Opitz, R Reploglc, L. L., Kat-sumoto, K., Schroeder, W., and Hess, B. A., Correspondence between theoretically predicted and experimentally observed sites of electrophilic sub.stitution on a fused tricyclic hetcroaromatic (azulene) system. Tetrahedron Lett., 2077, 1975. [Pg.78]

TABLE 2 The theoretically predicted and experimentally observed ground state configurations of lanthanum (La), lutetium (Lu), actinium (Ac), and lawrencium (Lr) ... [Pg.84]

Model predictions and experimental observations are compared in Figs. 28 and 29. The agreement was found to be excellent with a standard deviation of 12%. [Pg.65]

The details pertaining to the experiments along with the comparison between model predictions and experimental observations is shown in Table XL It can be seen that the agreement is favorable over a wide range of column widths, hole diameters, and numbers of holes. [Pg.100]

To close this Section we comment on two papers that do not fit under any neat heading. The first of these is by Xiao et al,261 who study the final stages of the collapse of an unstable bubble or cavity using MD simulations of an equilibrated Lennard-Jones fluid from which a sphere of molecules has been removed. They find that the temperature inside this bubble can reach up to an equivalent of 6000 K for water. It is at these temperatures that sonolumines-cence is observed experimentally. The mechanism of bubble collapse is found to be oscillatory in time, in agreement with classical hydrodynamics predictions and experimental observation. The second paper, by Lue,262 studies the collision statistics of hard hypersphere fluids by MD in 3, 4 and 5 dimensions. Equations of state, self-diffusion coefficients, shear viscosities and thermal conductivities are determined as functions of density. Exact expressions for the mean-free path in terms of the average collision time and the compressibility factor in terms of collision rate are also derived. Work such as this, abstract as it may appear, may be valuable in the development of microscopic theories of fluid transport as well as provide insight into transport processes in general. [Pg.355]

It can be seen from Eq. (18) that the improvement for the potentials Ujj(r) depends only on the difference between the predicted and experimentally observed pair distribution functions instead of any properties related to the reference state. Therefore, the iterative method does not face the reference state problem encountered by traditional mean-force/knowledge-based scoring functions. [Pg.292]

As expected, the two methods give basically the same results [16]. Both theories are valid only in the case of competitive Langmuir isotherms. This restriction should be kept in mind, because deviations from Langmuir behavior are the most probable explanation for the not so inconsequential disagreements observed sometimes between theoretical predictions and experimental observations reported in the literature [14,34]. [Pg.450]


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