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Curve Models

Thermodynamics. Microscopic reversibility 120 The Morse curve model 123... [Pg.117]

Fig. 1 Morse curve modeling of the contribution of bond-breaking to the dynamics of dissociative electron transfer... Fig. 1 Morse curve modeling of the contribution of bond-breaking to the dynamics of dissociative electron transfer...
FIGURE 3.2. Variation of the rate constants of dissociative electron transfer from aromatic anion radicals to butyl and benzyl halides as a function of steric hindrance. Data points from reference 10. Solid lines, best-fit parabola dashed lines, prediction of the Morse curve model, logAf-1 s-1). Adapted from Figure 3 of reference 6b, with permission from the American Chemical Society. [Pg.191]

FIGURE 3.30. Reaction of iron(0) and iron(I) pophyrins with n-, s-, and r-butyl bromides. The chart shows the various porphyrins and their symbolic designations. iron porphyrins, aromatic anion radical, lines best-fitting parabolas through the aromatic anion radicals data. Dashed lines outer-sphere curves obtained by use of the Morse curve model (Section 3.2.2). Adapted from Figure 4 in reference 47b, with permission from the American Chemical Society. [Pg.243]

Morse Curve Model of Intramolecular Dissociative Electron Transfer... [Pg.439]

The classical Morse curve model of intramolecular dissociative electron transfer, leading to equations (3.23) to (3.27), involves the following free energy surfaces for the reactant (Grx-) and product (Gr +x ) systems, respectively ... [Pg.439]

In the stepwise case, the intermediate ion radical cleaves in a second step. Adaptation of the Morse curve model to the dynamics of ion radical cleavages, viewed as intramolecular dissociative electron transfers. Besides the prediction of the cleavage rate constants, this adaptation opens the possibility of predicting the rate constants for the reverse reaction (i.e., the reaction of radicals with nucleophiles). The latter is the key step of SrnI chemistry, in which electrons (e.g., electrons from an electrode) may be used as catalysts of a chemical reaction. A final section of the chapter deals... [Pg.501]

Figure 15.5. Vehicle retail prices versus time according to a learning curve model in Greene et al. (2007), assuming hydrogen FCVs are introduced according to the DOE s Scenario 3. Figure 15.5. Vehicle retail prices versus time according to a learning curve model in Greene et al. (2007), assuming hydrogen FCVs are introduced according to the DOE s Scenario 3.
H2-X where X is a molecule. If a molecule other than H2 is chosen as the collision al partner X, new absorption bands appear at the rotovi-brational bands of that molecule. As an example, Fig. 3.17 shows the rototranslational enhancement spectra [46] of H2-CH4 for the temperature of 195 K. At the higher frequencies (v > 250 cm-1), these look much like the H2-Ar spectrum of Fig. 3.10 the H2 So(J) lines at 354, 587, and 815 cm-1 are clearly discernible. Besides these H2 rotational lines, a strong low-frequency spectrum is apparent which corresponds to the (unresolved) induced rotational transitions of the CH4 molecule these in turn look like the envelope of the rotational spectra seen in pure methane, Fig. 3.22. This is evident in the decomposition of the spectrum, Fig. 3.17, into its main components [46] the CH4 octopole (dashed curve) and hex-adecapole (dot-dashed curve) components that resemble the CH4-CH4 spectrum of Fig. 3.22, and the H2 quadrupole-induced component (dotted curve) which resembles the H2-Ar spectrum, Fig. 3.14. The superposition (heavy curve) models the measurement (big dots) closely. Similar spectra are known for systems like H2-N2 [58]. [Pg.89]

Data for fitting an improved Phillips curve model can be obtained from many sources, including the Bureau of Economic Analysis s (BEA) own website, Economagic.com, and so on. Obtain the necessary data and expand the model of example 12.3. Does adding additional explanatory variables to the model reduce the extreme pattern of the OLS residuals that appears in Figure 12.3 ... [Pg.52]

LIGHT CURVE MODELS FOR SN 198TA AND DIAGNOSIS OF SUPERNOVA INTERIOR... [Pg.319]

The above light curve modeling is meant to explore rather extreme cases and quite preliminary, but suggestive. [Pg.330]

Light Curve Models for SN 1987A and Diagnosis of the Supernova Interior... [Pg.480]

A good basis for the qualitative understanding of the Pgl process and its theoretical description is the potential curve model of Pgl, 21 which was developed and applied6-14 prior to the theoretical formulation of Pgl (see Fig. 1). The spontaneous ionization occurring with probability F(Rt)/h at some distances R, is the vertical transition V+(RI)—>V+(RI), as indicated in the diagram. This vertical condition is a consequence of the Born-Oppenheimer approximation and has nothing to do with the approxima-... [Pg.404]

Figure 1. Potential curve model of Penning ionization. Figure 1. Potential curve model of Penning ionization.
The turning point for central collisions, R0, at V (R) can be directly determined from the observed maximum electron energy, emax. From the potential curve model of Fig. 34b it can be seen that... [Pg.475]

Figure H1.1.5 Empirical models that are used to predict the complete flow curve of non-Newtonian fluids or portions of the complete curve. In the full-curve models, K is a constant with time as its dimension and m is a dimensionless constant. See text for definition of other variables in equations. Figure H1.1.5 Empirical models that are used to predict the complete flow curve of non-Newtonian fluids or portions of the complete curve. In the full-curve models, K is a constant with time as its dimension and m is a dimensionless constant. See text for definition of other variables in equations.
Application to Strongly Absorbing Nonassociated Liquid V. Hat-Curved Model and Its Application for Polar Fluids... [Pg.66]

Hat-Curved Model as Symbiosis of Rectangular-Well and Parabolic-Well Models... [Pg.66]

Form factor of the hat-curved model Normalized concentration of molecules Kirkwood correlation factor Steady-state energy (Hamiltonian) of a dipole Dimensionless energy of a dipole Moment of inertia of a molecule Longitudinal and transverse components of the spectral function Complex propagation constant Elasticity constant (in Section IX)... [Pg.69]

S V 0 Normalized steepness in the hat-curved model Effective potential Current deflection of a dipole moment from the symmetry axis... [Pg.71]

Section VI. It is possible to unblock the first drawback (i), if to assume a nonrigidity of a dipole—that is, to propose a polarization model of water. This generalization roughly takes into account specific interactions in water, which govern hydrogen-bond vibrations. The latter determine the absorption R-band in the vicinity of 200 cm-1. A simple modification of the hat-curved model is described, in which a dipole moment of a water molecule is represented as a sum of the constant (p) and of a small quasi-harmonic time-varying part p(/j. [Pg.79]

The latter is determined by the oscillation frequency, decaying coefficient, and vibration lifetime. This nonrigid dipole moment stipulates a Lorentz-like addition to the correlation function. As a result, the form of the calculated R-band substantially changes, if to compare it with this band described in terms of the pure hat-curved model. Application to ordinary and heavy water of the so-corrected hat-curved model is shown to improve description (given in terms of a simple analytical theory) of the far-infra red spectrum comprising superposition of the R- and librational bands. [Pg.80]

However, the so-corrected hat-curved model still does not give a perfect agreement with the experiment, since it does not allow us to eliminate the second drawback (ii), namely, disagreement with experiment of the calculated complex permittivity in the submillimeter wavelength region. [Pg.80]


See other pages where Curve Models is mentioned: [Pg.752]    [Pg.140]    [Pg.123]    [Pg.179]    [Pg.187]    [Pg.195]    [Pg.223]    [Pg.229]    [Pg.439]    [Pg.501]    [Pg.467]    [Pg.446]    [Pg.268]    [Pg.50]    [Pg.319]    [Pg.330]    [Pg.483]    [Pg.68]    [Pg.74]    [Pg.74]    [Pg.79]    [Pg.80]    [Pg.83]   
See also in sourсe #XX -- [ Pg.377 , Pg.378 ]




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Bond Curve Crossing Models

Breakthrough curve models

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Creep curve, mechanical model

Curve Fitting and Regression Modeling vs Hypothesis Testing

Curve crossing model

Curve crossing model experimental data

Curve crossing model reactive collisions

Curve fit model

Curve-fitting model functions

Curved channel model

Curved plate model

Dispersion curves, computational modelling

Dissociative electron transfer Morse curve model

Generalized curve-crossing model

Hat-curved models

Hat-curved models spectral calculations

Hat-curved-harmonic oscillator model

Hertz model force-distance curves

High polarization curve modeling

Kinetic model breakthrough curve

Linear curve crossing model

Modeling titration curves

Nonlinear curve modeling

Optimization of the Model Curve Fitting

Peak shape models curve fitting

Polarization curve model summary

Polarization curve modeling

Polarization curve performance modeling

RHEOLOGICAL MODELS FOR UNIFIED CURVES

Self-modeling curve resolution

Self-modeling curve resolution (SMCR)

Surface models Curve network

Surface reactions curve-crossing model

Tafel curve modeling

The Born-Karman model and dispersion curves

The Curve Model

The Landau-Zener theory of curve crossing model

The Morse Curve Model

Valence bond curve crossing models

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