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Distributions number

Atomic orbitals Multipole distribution Number of charges... [Pg.287]

Using the same approach as in Secs. 2-7a and 2-7b, the following equations are derived for the weight-fraction distribution, number- and weight-average degrees of polymerization,... [Pg.291]

Numerous techniques have been applied for the characterization of StOber silica particles. The primary characterization is with respect to particle size, and mostly transmission electron microscopy has been used to determine the size distribution as well as shape and any kind of aggregation behavior. Figure 2.1.7 shows a typical example. As is obvious from the micrograph, the StOber silica particles attract a great deal of attention due to their extreme uniformity. The spread (standard distribution) of the particle size distribution (number) can be as small as 1%. For particle sizes below SO nm the particle size distribution becomes wider and the particle shape is not as perfectly spherical as for all larger particles. Recently, high-resolution transmission electron microscopy (TEM) has also revealed the microporous substructure within the particles (see Fig. 2.1.8) (51), which is further discussed in the section about particle formation mechanisms. [Pg.135]

Table 9.1 Ligand field stabilization energies (LFSE) for octahedral and tetrahedral ligand distributions number of d electrons... Table 9.1 Ligand field stabilization energies (LFSE) for octahedral and tetrahedral ligand distributions number of d electrons...
What about the determination of voids in a liquid Determination of the short-range order may not allow one to determine the distribution (number and size) of fluctuating voids in the liquid." While such voids may play a vital part in the mechanism of transport, they are voids and hence would hardly make much impression upon the probing radiation. [Pg.619]

Mean heat production. Standard deviation on the heat produetion distribution. Number of sites. Analyses were made on mixed powders, implying that the standard deviation of the analyses underestimates the true spread of values for individual rock samples. Average calculated by weighting according to the abundances of the different rock types. Baltic Shield data compiled from Hanski (1992), Eilu (1994),... [Pg.1334]

Mean one standard error. Standard deviation on the distribution. Number of sites. Area-weighted average value, the compilation by Nyblade and Pollack (1993) excluding the more recent measurements included here. [Pg.1340]

In comparative trials, a list of subjects enrolled should be submitted. This list contains the case number, name of the institute, the distribution number, patient s initials, sex and age, inpatient/outpatient status, underlying disease and its severity before administration, disease duration, complications, administration period, dosage, concomitant drugs, general degree of improvement, side effects and their course, excluded cases and drop-outs and the reasons, the usefulness, etc.. In cases where side effects occurred, the time of appearance, measures taken and other reference items are described. Separate lists by each administration group are needed. [Pg.307]

N NCLD NMWD n na electrochemical reaction Molar flow rate, molar flux Number chain length distribution Number molecular weight distribution Number of stages in a CSTR battery, reaction order, number of electrons in electrochemical reaction, number of experiments Number of moles of A present kg - mol lb-mol... [Pg.3]

Synthetic polymers are often polydisperse, containing a mixture of molecules with different molar masses. This mixture is described by a distribution—number fraction (or mole fraction) rij of molecules with molar mass M. The distribution is characterized by its moments, with the kth moment of the number fraction distribution function defined as a sum over the distribution ... [Pg.39]

Phase Doppler Time-dependent Size distribution, number... [Pg.95]

FIGURE 9.10 Example of a log-normal size distribution. Number frequency and volume frequency versus diameter (d) are given, and the various types of characteristic diameters are indicated, as well as the distribution width. [Pg.324]

Fig. 1 Representation of a simplified model of a spherical (Hartley) ionic micelle containing the Rh/2 catalyst. The solubilized 1-tetradecene in the core (stippled area), the tail of the tenside (CH3(CH2) CHCHy), the head (SOf), the counter ions (Na+, OH, depicted as X) schematically indicate their relative locations and not the relationship to their molecular size, distribution, number, or configuration. Fig. 1 Representation of a simplified model of a spherical (Hartley) ionic micelle containing the Rh/2 catalyst. The solubilized 1-tetradecene in the core (stippled area), the tail of the tenside (CH3(CH2) CHCHy), the head (SOf), the counter ions (Na+, OH, depicted as X) schematically indicate their relative locations and not the relationship to their molecular size, distribution, number, or configuration.
If seeds with a particular size distribution (number distribution) are introduced, at time zero, into a batch crystallizer (without crystals initially present), then the PSD at later times is described using the population balance equation (Randolph and Larsen 1988, or Chapter 4 of this book) where it has been assumed no breakage or agglomeration occurs. [Pg.258]

Speed depends on spread of distribution, number of size intervals required to characterize suspension assumes PSD with range from 2 to 100 /xm includes sample preparation and instrument time. [Pg.308]

In order to test observational errors nsing a fnll sample of unblended spectral lines, the Monte-Carlo method with a generator of normally distributed numbers was used. For N = 2545 measurements of magnetic fields on four yellow supergiants Aqr, a Aqr, e Gem, e Peg), including weak unblended spectral lines, the relation between mean the Monte-Carlo simulated standard error and the mean experimental standard error was estimated as = 1.033<(t>. Further, weak spectral lines for which z ro - rj < 0.2 were eliminated to strengthen the data uniformity. For A= 1844 measurements = 0.968<(t>. The discrepancy is 3.3 % in the first case and 3.2 % in the second case both appear to be very small. [Pg.363]

Genus Number of species in genus Present distribution Number of species recorded to bear nodules... [Pg.201]

The result of the DQO process is a set of informed planning elements that are expanded into what is often called a QAPP. This document dictates the specific elements of a DCA. The QAPP ensures that the sample collection area is logical and well-defined, the samples collected are representative of the area with respect to distribution, number, and freqnency, the samples are collected and documented properly, and the samples reach the radioanalytical chemistry laboratory in an unbroken chain of custody. At the laboratory, the QAPP defines the types of analyses that will be performed, the nnmber of measnrements per sample, the reqnired reliability and sensitivity of analytical resnlts, and the response time. The QAPP also... [Pg.238]


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See also in sourсe #XX -- [ Pg.3 , Pg.4 ]

See also in sourсe #XX -- [ Pg.3 , Pg.4 ]




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Aerosol number density distributions

Aerosols number size distribution

Alkanes distribution with carbon number

Boltzmann Distribution, Harmonic Vibration, Complex Numbers, and Normal Modes

Carbon number distribution patterns

Carbon number distribution pyrolysis products

Carbon number distribution, olefin

Carbon number distributions

Carbon number distributions distribution

Carbon number distributions selectivity

Cobalt catalysts carbon number distribution

Coordination number distribution

Cumulative number size distributions

Determination of particle size distribution by number

Distribution octane number

Distribution of random numbers

Distributions and the Problem of Small Numbers

External Numbering-up and Flow Distribution

Fermi distribution, occupation numbers

From melts number distribution

Homologous series, carbon-number distribution

Iron carbon number distribution

Molecular mass distribution number-average

Molecular mass number distribution

Molecular weight distribution number average

Number and (b) GPC distributions for three polymers each with

Number chain length distribution

Number chain length distribution weight average

Number fraction distribution

Number of passage distribution ,

Number size distributions

Number, Mass, Surface, and. Volume Distributions

Number-distribution function

Number-redshift distribution

Number-weighted distributions

Pair distribution function coordination number

Particle number distributions

Particle size distribution number

Radicals) number distribution

Random number distribution

Relationship between number mean sizes for a log-normal distribution

Residence time distribution Peclet number

Reynolds number current distribution

Ring-number distribution

Size distribution number concentration

Size distribution reduction number

The Number Molecular Mass Distribution

The Number and Weight Distribution Functions

Weight and number distributions

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