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Distribution evaluation

Equation (8) has been criticized as a relation that is valid only very near to equilibrium because the rates appearing in Eq. (8) are related to the equilibrium distribution P/ C). However, we must observe that the equilibrium distribution evaluated at a given configuration depends only on the Hamiltonian of the system at that configuration. Therefore, Eq. (8) must be read as a relation that only depends on the energy of configurations, valid close but also far from equilibrium. [Pg.44]

Obtain a general formula for the most probable three-dimensional translational quantum number j = jmax for a gas (assume a Boltzmann distribution). Evaluate this expression for NO2 at 1000 K (assume a cubic container 0.1 m on each side). Determine the translational energy that this corresonds to (J/mole). Find the fraction of molecules having a translational energy level greater than jmax. Hint Solution to this problem will involve the error function, erf(x). [Pg.366]

Zheng J, Frey HC (2004) Quantification of variability and uncertainty using mixture distributions Evaluation of sample size, mixing weights and separation between components. Risk Analysis, 24(3) 553-571. [Pg.96]

Figure 4.3 shows such a distribution evaluated for the conditions of [4]. In the calculation, all potentials were taken as contact potentials. As expected from (4.12), the ion-momentum distribution peaks near Plnax = 5.3 a.u., Pi = 0. Electrons can acquire momenta higher than allowed by (4.11) for two reasons (i) they can start with a nonzero velocity, and (ii) quantum mechanics allows momenta in excess of (4.11). By overall momentum con-... [Pg.73]

This technique was extended by Schmidt-Rohr et al.251 and was given the acronym DECODER (direction exchange with correlation for orientation-distribution evaluation and reconstruction). The pulse sequence of the 2D version of this method, which is shown in Fig. 16(a), is basically a typical 2D exchange experiment except that the sample is reoriented during the mixing time. Consequently, the correlation of, for example, the chemical shift interaction at two different sample orientations is obtained. [Pg.92]

To compute the integral in (9), we use the fact that, for fixed a%2, a x, the quantity Pidki - 9k2 > (o 2 aki)/ )is ttie cumulative distribution function of a standard normal distribution evaluated at... [Pg.131]

Linnet K. Two-stage transformation systems for normalization of reference distributions evaluated. Chn Chem 1987 33 381-6. [Pg.405]

Comparison of these last two equations with Eq. (11-24) indicates that 5=1/8. The significance of the random-pore model is that the effective diffusivity is proportional to the square of the porosity. This has also been proposed by Weisz and Schwartz. Johnson and Stewart have developed another method for predicting that utilizes the pore-volume distribution. Evaluation of their model and the random-pore model with extensive experimental data has been carried out by Satterfield and Cadle" and Brown et al. ... [Pg.416]

The method was applied first to investigate current distributions in unidirectional CFRP. Fig. 4 left hand side shows the z-component of the magnetic field in form of grey values. The picture size corresponds to a scan area of 2.4 cm square 7.6 cm. Next to the magnetic field the current distribution evaluated with Eq. (1) and (3) is shown. It can be seen that the currents induced in fibre direction are dominating as expected for reasons of the anisotropic conductivity. In an additional experiment four layers of CFPR having different fibre orientation were stacked. Fig. 5 shows the measured magnetic field. The picture size corresponds to a scan area of 2.8 cm square 3 cm. The fibre orientation is clearly visible. [Pg.435]

The comprehensive analysis of physical, chemical, and electrochemical processes occurring in the solid electrolyte gas sensors, allows verifying the adequacy of mathematical models to the real gas sensors. Processing the results of multiple experimental measurements of the gas sensors consists in elucidation of the type of experimental data distribution, evaluation of the parameters of the established distribution, and verification of the adequacy of the mathematical model to the real sensor. [Pg.83]

This initial product distribution, evaluated by MAMA at 1,040 K, shows the importance of butadiene formation through the decomposition of l-hexen-3yl radical, and also confirms that this stoichiometry is only slightly temperature dependent in this case too. [Pg.84]

Spiess et al. [7] developed a multidimensional DECODER (direction exchange with correlation for orientation-distribution evaluation and reconstruction) method to measure and correlate NMR frequencies at two different sample orientations. Through this correlation, the spectra contain the equivalent of information on two Euler angles that describe the orientation of a given molecular segment. Many features of the orientation distribution are directly reflected in the intensity distribution of the 2D spectrum, from which the width of the orientation distribution of certain axes can immediately be read. The multidimensional DECODER NMR experiments are applied to drawn PET fibers and thin PET films prepared under different processing conditions. [Pg.498]

Figure 39-2. Concentration distribution evaluation with a schlieren cell. Figure 39-2. Concentration distribution evaluation with a schlieren cell.
Distributed Evaluation Route Planning Using Mobile Agents... [Pg.129]

Shinn Ted-Hong, Lin Chen-Chong, Lin David, C. (1995). Studies on Co [Poly( Ethylene Terephthalate-p-oxybenzoate)] Thermotropic Copolyester Sequence Distribution Evaluated from TSC Measurements. Polym, 36(2), 283-289. [Pg.176]

If we compare the results of the distributions evaluated by Patel s formula and the actual intensity distribution of the corresponding laser transitions, there is a discrepancy in the intensity relations of the rotational components within a vibrational band. The peak intensity occurs at a higher J-value than calculated. This discrepancy is due to saturation effects. Patel s formula gives the intensity for "small signal gain", whereas the experimental peak intensity is limited by saturation effects. [Pg.38]

In this way, not only the comer weakness effect is fully explained but also a new method of current density distribution evaluation in electrochemical cells is promoted. [Pg.138]


See other pages where Distribution evaluation is mentioned: [Pg.114]    [Pg.259]    [Pg.327]    [Pg.332]    [Pg.409]    [Pg.112]    [Pg.65]    [Pg.131]    [Pg.270]    [Pg.860]    [Pg.59]    [Pg.332]    [Pg.109]    [Pg.498]    [Pg.425]    [Pg.142]    [Pg.408]    [Pg.209]    [Pg.259]    [Pg.139]    [Pg.236]    [Pg.109]    [Pg.61]    [Pg.225]    [Pg.101]    [Pg.167]    [Pg.388]    [Pg.388]    [Pg.76]   
See also in sourсe #XX -- [ Pg.40 , Pg.40 , Pg.41 , Pg.42 ]

See also in sourсe #XX -- [ Pg.183 ]




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