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Experimental data prediction

Figure 11. C2H4 ion yield as a function of time in femtoseconds for a pump-photoionization probe experiment. Heavy line Predicted ion yield using the AIMS data and assuming an ionization threshold of 3.5eV. Dashed line Exponential fit to the AIMS ion yield predicting an excited state lifetime of 35 fs. Gray shaded area Reported ion yield [152] obtained using an exponential fit to the experimental data predicting an excited state lifetime of 30 15 fs. (Figure adapted from Ref. 214.)... Figure 11. C2H4 ion yield as a function of time in femtoseconds for a pump-photoionization probe experiment. Heavy line Predicted ion yield using the AIMS data and assuming an ionization threshold of 3.5eV. Dashed line Exponential fit to the AIMS ion yield predicting an excited state lifetime of 35 fs. Gray shaded area Reported ion yield [152] obtained using an exponential fit to the experimental data predicting an excited state lifetime of 30 15 fs. (Figure adapted from Ref. 214.)...
Figure 2. Comparison between a measured Figure 3. Parity plot of calculated vs. calculated with Eq. 3 and experimental data predicted kta values... Figure 2. Comparison between a measured Figure 3. Parity plot of calculated vs. calculated with Eq. 3 and experimental data predicted kta values...
Quantum chemical calculations along with the experimental data predicts that the [Br - I - I] complex is bent and the Br - I - I angle is 150. The energy (depth) of the potential well in which Br - I - I is trapped, as well as the activation energy barrier to go to the final products, have also been determined. [Pg.83]

In the MMO OB3b system, the values could be used to predict the concentration dependence of the MMOB enhancement on the rate of the multiple turnover reaction. The fit to the experimental data predicts that the maximum rate is attained when a stoichiometric ternary complex (based on active site concentration) is established. Excess MMOB is inhibitory, apparently due to the formation of inactive MMOB-MMOR and MMOB-MMOB complexes, or perhaps binding of MMOB in the MMOR binding site. Cross-linking experiments were used to demonstrate the formation of each of these inhibitory complexes. Component complexes also play a significant role during the single turnover reaction as described below. [Pg.246]

Limited experimental data is available for the EAs of the DNA bases. The trend in the "estimated EAs" (obtained by correcting the HF Koopmanns EA by the calculated nuclear relaxation energy) is T > C > A > G, which is in agreement with early studies on DNA predicting that the thymine anion is the major reduction product upon irradiation [72]. Alternatively, the trend predicted through examination of the adiabatic EAs calculated with DFT (C > T > G > A) supports experimental data predicting cytosine to be the major reduction site in... [Pg.440]

Experimentally gender predilection for various nephrotoxins is well recognized. Examples include the male rat s sensitivity to the nephrotoxic effects of both carbon tetrachloride and aminoglycosides [115]. Recently, Moore et al. [148] demonstrated an increased susceptibihty of women to the nephrotoxic effects of aminoglycosides using multi variant analysis. These observations make two important points, first is that the extrapolation of animal results to predict human response must be done with caution since the experimental data predicted a male susceptibility. Secondly, gender can impart either susceptibility or resistance depending upon your point of view. [Pg.17]

To verify the proposed relationships in Equation 46.11 and Equation 46.12, the shift factors for soy flour samples were predicted using these equations and compared with the experimental data. Predicted values were close to the experimental ones for all water activities, suggesting that the proposed relationships represent a useful tool to approximate the molecular behavior of soy flour at the water activity value of interest (Yildiz and Kokini, 2001). [Pg.596]

In the Rayleigh or varicose breakup regime, the Duifie and Marshall equation (40), which is based on experimental data, predicts... [Pg.116]

Current numerical efforts are focused on LES benchmarking. Nonreacting jets and jet flames from the Sandia database library will be stndied. Combustion models will initially be based on flamelet concepts, but models which address finite-rate chemistry will also be considered [13, 14]. Flame, emissions, and noise predictions will be compared to experimental data. Predictions of swirl combustor flowfields with comparison to data from the literature and the authors own experiments are also underway. Ear-field sound predictions of diffuser flow are currently underway. Coupled diffuser-combustor studies addressing unsteady inlet flow effects and trapped-vortex combustor studies focusing on cavity acoustic resonance effects are planned. [Pg.221]

Only 25% of the Cottrell equation is used in the final expression to correct for the diminished diffusion in the narrowing frustum. This model correctly predicts the shape of the percent coulometric efficiency vs. vesicle radius however, the predicted magnitude is 2.6 times larger than that observed. To correct this a factor of 0.38 has been applied to the theoretical prediction. Experimental data, predicted coulometric efficiency, and the best fit of the experimental data is shown in Figure 17.1.11. [Pg.735]

SMURF-l- includes activity and is build up from experimental data, predicted values, and calculated properties, with experimental data replacing predicted ones once they are available, so that the accuracy increases with increased experimental data. The fundamental idea of SMURF is that each compound will be assessed with respect to a variety of parameters. For each parameter, an individual property score (penalization) will be produced based on previously defined cutoff values. As an example, if a compound has a MW above 500 D, it will get a property score of 3, 1 if it is between 400 and 500 D, and 0 if it is below 400 D... [Pg.29]

It should be noted that, despite the made assumptions, the Lindemann theoiy qualitatively fits the experimental data predicting the change of the reaction order with the pressure change. [Pg.63]

If total sulfur curve is simulated by using any model that considers total lumping or averaging any profile distribution without proper validation with experimental data, prediction of sulfur in products can be restricted to short range of reaction conditions, and reliable results cannot be expected. If a sulfur distribution is assumed by taking from the literature any correlation between sulfur content and boiling point, the use of experimental sulfur curve data to validate/derivate the model parameters is mandatory (Chou and Ho, 1988). [Pg.448]


See other pages where Experimental data prediction is mentioned: [Pg.249]    [Pg.268]    [Pg.319]    [Pg.199]    [Pg.452]    [Pg.249]    [Pg.792]    [Pg.199]    [Pg.33]    [Pg.11]    [Pg.432]    [Pg.776]    [Pg.249]    [Pg.206]    [Pg.426]    [Pg.26]    [Pg.158]   
See also in sourсe #XX -- [ Pg.72 ]




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