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Simplification

We will still only deal with binary mixtures in the following, as the diffusion coefficients DAK of mixtures of more than two components are often unknown, and therefore the diffusion in these mixtures cannot be quantitatively calculated. The diffusion equations (2.328) and (2.338) for binary mixtures can often be simplified considerably. [Pg.230]

We have already ascertained that in the diffusion of a gas A into a solid or liquid B, the density of a volume element is practically unchanged, dg/dt = 0, because the mass of the gas absorbed is low in comparison with the mass of the volume element. If substance B was initially homogeneous, g = g x) = const, the density will also be unchanged locally during the diffusion process. We can therefore say a good approximation is that the density is constant, independently of position and time. Furthermore, measurements [2.76] have shown that the diffusion coefficient in dilute liquid solutions at constant temperature may be taken as approximately constant. Equally in diffusion of a gas into a homogeneous, porous solid at constant temperature, the diffusion coefficient is taken to be approximately constant, as the concentration only changes within very narrow limits. In these cases, in which g = const and DAB = D = const can be assumed, (2.328) simplifies to [Pg.230]

The equation (2.338) for vanishing average molar velocity u = 0, can also be simplified, when it is applied to binary mixtures of ideal gases. As a good approximation, at low pressures generally up to about 10 bar, the diffusion coefficient is independent of the composition. It increases with temperature and is inversely proportional to pressure. The diffusion coefficients in isobaric, isothermal mixtures are constant. In this case (2.338) is transformed into the equation for c = const [Pg.230]

The equations (2.341) and (2.342) are equivalent to each other, because putting cA = gA/MA into (2.342) results in [Pg.230]

On the other hand, because g = const we can also write [Pg.230]

It was noted that the original Wl theory (old-style SCF extrapolation) performed considerably more poorly for second-row than for first-row species. This was ascribed to the lack of balance in the basis sets for second-row atoms used in the SCF and valence correlation steps of Wl in particular, the A VTZ+2dlf basis set contains as many tight d and f functions as regular ones, which would appear to be a bit top-heavy. [Pg.50]

It was proposed to replace the A VTZ+2dlf basis set by A VTZ+2d, a conclusion borne out by calculations on the S03 molecule [28], which suffers from extreme inner polarization effects and as such provides a good proving ground . [Pg.51]

Compared to its prototype, the modification (the so-called Wl theory) did appear to yield improved results for second-row molecules. However, in the W1/W2 validation study [26] we found this to be an artifact of the exaggerated sensitivity of the (old-style) 3-point geometric SCF extrapolation. Use ofthenew-style Eoo+A/L5 extrapolation largely eliminates both the problem and the difference between Wl and Wl theory. [Pg.51]

The geometrically exact specification of displacements not unexpectedly leads to fairly complicated expressions, and also for moderate rotations, it is usually sought after reduction with the aid of ordering schemes. For the sake of transparency and analytic insight, it will be continued as follows  [Pg.117]

Remark 1.2. The beam may be subjected only to small rotations. [Pg.117]

Applying the rotational transformation for such small rotations, as out-fined in Eq. (7.6b), to the total displacement vector Uo x,y,z) of Eq. (7.3) leads to [Pg.117]

So far, the warping displacements uo x, y, z) have not been considered beyond their pure existence. Yet, they somehow must be related to the displacements u x) or rotations /3(x) of the beam. A detailed analysis of the warping effects will be given later in this chapter, illustrating the subsequent warping-related statements. [Pg.117]

Remark 7.3. The warping displacements are presumed to be functions of the rotational angles. [Pg.118]


At pressures to a few bars, the vapor phase is at a relatively low density, i.e., on the average, the molecules interact with one another less strongly than do the molecules in the much denser liquid phase. It is therefore a common simplification to assume that all the nonideality in vapor-liquid systems exist in the liquid phase and that the vapor phase can be treated as an ideal gas. This leads to the simple result that the fugacity of component i is given by its partial pressure, i.e. the product of y, the mole fraction of i in the vapor, and P, the total pressure. A somewhat less restrictive simplification is the Lewis fugacity rule which sets the fugacity of i in the vapor mixture proportional to its mole fraction in the vapor phase the constant of proportionality is the fugacity of pure i vapor at the temperature and pressure of the mixture. These simplifications are attractive because they make the calculation of vapor-liquid equilibria much easier the K factors = i i ... [Pg.25]

The carbon atom has a share in eight electrons (Ne structure) whilst each hydrogen atom has a share in two electrons (He structure). This is a gross simplification of covalent bonding, since the actual electrons are present in molecular orbitals which occupy the whole space around the five atoms of the molecule. [Pg.415]

The hydrogen atoms have been omitted for the sake of simplification. [Pg.7]

The error made by this simplification is shown in fig. 5. The values calculated with equation (3) are smaller than the correct values according equation (2). This error is smaller than 1 % if the film focus distance is more than 6 times the diameter of the pipe. [Pg.521]

In the wide field of applications, a visibility level VL = 3 - 60 is recommended. For our recognition task, we are obliged to take into account that our random conditions are far from the experimental conditions of the basic researches (Young test person with a high visus under ideal environmental conditions) [4]. Furthermore in our case we have a more difficult visual searching task. Parameter variations as the increase of presentation time from 0,2 to 1.0 s. and the detection propability from 50% to 100% are taken into account [5] In spite of the gliding variations of the parameters as well as the visibility level, for simplification let us assume VL = 10 as minimum requirement. [Pg.676]

To first order, the dispersion (a-a) interaction is independent of the structure in a condensed medium and should be approximately pairwise additive. Qualitatively, this is because the dispersion interaction results from a small perturbation of electronic motions so that many such perturbations can add without serious mutual interaction. Because of this simplification and its ubiquity in colloid and surface science, dispersion forces have received the most significant attention in the past half-century. The way dispersion forces lead to long-range interactions is discussed in Section VI-3 below. Before we present this discussion, it is useful to recast the key equations in cgs/esu units and SI units in Tables VI-2 and VI-3. [Pg.231]

At this point an interesting simplification can be made if it is assumed that r, as representing the depth in which the ion discrimination occurs, is taken to be just equal to 1/x, the ion atmosphere thickness given by Debye-Hiickel theory (see Section V-2). In the present case of a 1 1 electrolyte, k = (8ire V/1000eitr) / c /, and on making the substitution into Eq. XV-7 and inserting numbers (for the case of water at 20°C), one obtains, for t/ o in millivolts ... [Pg.554]

Although a separation of electronic and nuclear motion provides an important simplification and appealing qualitative model for chemistry, the electronic Sclirodinger equation is still fomiidable. Efforts to solve it approximately and apply these solutions to the study of spectroscopy, stmcture and chemical reactions fonn the subject of what is usually called electronic structure theory or quantum chemistry. The starting point for most calculations and the foundation of molecular orbital theory is the independent-particle approximation. [Pg.31]

Even Hartree-Fock calculations are diflTicult and expensive to apply to large molecules. As a result, fiirther simplifications are often made. Parts of the Fock operator are ignored or replaced by parameters chosen by some sort of statistical procedure to account, in an average way, for the known properties of selected... [Pg.33]

If only zero-order states from the same polyad are conpled together, this constitutes a fantastic simplification in the Flamiltonian. Enonnons compntational economies result in fitting spectra, becanse the spectroscopic Flamiltonian is block diagonal in the polyad nnmber. That is, only zero-order states within blocks with the same polyad number are coupled the resulting small matrix diagonalization problem is vastly simpler than diagonalizing a matrix with all the zero-order states conpled to each other. [Pg.66]

Flowever, why should snch a simplification be a realistic approximation For example, why should not a conpling of the fonn... [Pg.66]

With these simplifications, and with various values of the as and bs, van Laar (1906-1910) calculated a wide variety of phase diagrams, detennining critical lines, some of which passed continuously from liquid-liquid critical points to liquid-gas critical points. Unfortunately, he could only solve the difficult coupled equations by hand and he restricted his calculations to the geometric mean assumption for a to equation (A2.5.10)). For a variety of reasons, partly due to the eclipse of the van der Waals equation, this extensive work was largely ignored for decades. [Pg.623]

Onsager s reaction field model in its original fonn offers a description of major aspects of equilibrium solvation effects on reaction rates in solution that includes the basic physical ideas, but the inlierent simplifications seriously limit its practical use for quantitative predictions. It smce has been extended along several lines, some of which are briefly sunnnarized in the next section. [Pg.837]

There is one special class of reaction systems in which a simplification occurs. If collisional energy redistribution of some reactant occurs by collisions with an excess of heat bath atoms or molecules that are considered kinetically structureless, and if fiirthennore the reaction is either unimolecular or occurs again with a reaction partner M having an excess concentration, dien one will have generalized first-order kinetics for populations Pj of the energy levels of the reactant, i.e. with... [Pg.1050]

In principle, every nucleus in a molecule, with spm quantum number /, splits every other resonance in the molecule into 2/ -t 1 equal peaks, i.e. one for each of its allowed values of m. This could make the NMR spectra of most molecules very complex indeed. Fortunately, many simplifications exist. [Pg.1453]

Despite these simplifications, a typical or F NMR spectrum will nomially show many couplings. Figure BTl 1.9 is the NMR spectrum of propan-1-ol in a dilute solution where the exchange of OH hydrogens between molecules is slow. The underlymg frequency scale is included with the spectrum, in order to emphasize how the couplings are quantified. Conveniently, the shift order matches the chemical order of die atoms. The resonance frequencies of each of the 18 resolved peaks can be quantitatively explained by the four... [Pg.1453]

The polarization dependence of the photon absorbance in metal surface systems also brings about the so-called surface selection rule, which states that only vibrational modes with dynamic moments having components perpendicular to the surface plane can be detected by RAIRS [22, 23 and 24]. This rule may in some instances limit the usefidness of the reflection tecluiique for adsorbate identification because of the reduction in the number of modes visible in the IR spectra, but more often becomes an advantage thanks to the simplification of the data. Furthenuore, the relative intensities of different vibrational modes can be used to estimate the orientation of the surface moieties. This has been particularly useful in the study of self-... [Pg.1782]

The coefficients p. are chosen so that, on a quadratic surface, the interpolated gradient becomes orthogonal to all Aq. This condition is equivalent to minimizing the energy in the space spaimed by the displacement vectors. In the quadratic case, a further simplification can be made as it can be shown that all p. with the... [Pg.2337]

As tlie separation is often an expensive part of a process, simplifications may be valuable. For example, in a process for hydrofoniiylation of propene. [Pg.2701]

The effective nuclear kinetic energy operator due to the vector potential is formulated by multiplying the adiabatic eigenfunction of the system, t t(/ , r) with the HLH phase exp(i/2ai ctan(r/R)), and operating with T R,r), as defined in Eq. fl), on the product function and after little algebraic simplification, one can obtain the following effective kinetic energy operator. [Pg.45]

The gradient of v l with respect to Jacobi coordinates (the vector potential) considering the physical region of the conical intersection, is obtained by using Eqs. (C.6-C.8) and after some simplification ( ) we get,... [Pg.89]

Singly, these functions provide a worse description of the wave function than the thawed ones described above. Not requiring the propagation of the width matrix is, however, a significant simplification, and it was hoped that collectively the frozen Gaussian functions provide a good description of the changing shape of the wave function by their relative motions. [Pg.275]

CASSCF is a version of MCSCF theory in which all possible configurations involving the active orbitals are included. This leads to a number of simplifications, and good convergence properties in the optimization steps. It does, however, lead to an explosion in the number of configurations being included, and calculations are usually limited to 14 elections in 14 active orbitals. [Pg.300]


See other pages where Simplification is mentioned: [Pg.230]    [Pg.351]    [Pg.738]    [Pg.235]    [Pg.13]    [Pg.25]    [Pg.37]    [Pg.39]    [Pg.70]    [Pg.76]    [Pg.161]    [Pg.161]    [Pg.181]    [Pg.493]    [Pg.510]    [Pg.564]    [Pg.671]    [Pg.884]    [Pg.1125]    [Pg.2050]    [Pg.2200]    [Pg.2221]    [Pg.2645]    [Pg.2658]    [Pg.2930]    [Pg.55]    [Pg.112]    [Pg.297]   
See also in sourсe #XX -- [ Pg.39 ]




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A priori simplification of the primary mechanism

Anchoring simplifications

Assumptions and Simplifications

Basic simplifications of the quantum model

Boundary conditions simplification

Chemical kinetics, simplification

Chemical kinetics, simplification approximation

Chemical kinetics, simplification defined

Complex data sets, simplification

Computational fluid dynamics simplification

Critical simplification

Critical simplification dynamics

Critical simplification generalization

Critical simplification principle

Critical simplification reaction rates

Crystallization model, simplification

Cycle-Average Simplification

Design and simplification

Design strategies simplification

Design, process safety simplification

Disconnections simplification

Dynamical rules simplifications

Fragmentation pattern simplification

Haldane simplification

Kinetic simplification principles

Kinetic simplifications

Main simplification

Model simplification

Modeling Assumptions and Simplification

Modeling, mathematical simplifications

Modification and simplification of chemical spaces

Molecular simplification, retrosynthetic

NMR and spectral simplification

Navier-Stokes equations, simplification

Objective function simplification

Periodic operation simplification

Preanalytical Sample Simplification

Process simplification

Reducible representations simplification

Reduction and Simplification of Reaction Networks

Second-order perturbations simplification

Simplification Linearization Objective function

Simplification Paris

Simplification and Reduction of the Reaction Network

Simplification facts

Simplification linear approximation

Simplification mathematical

Simplification of Fragmentation Patterns

Simplification of H spectra

Simplification of Packed-Bed Electrode with a Low Conversion

Simplification of complex absorption spectra

Simplification of sensor elements

Simplification of the Coupled Cluster Hamiltonian

Simplification of the Experimental Kinetics

Simplification of the Generalized Mass Transfer Equation for a One-Dimensional Plug Flow Model

Simplification of the Interface Boundary Conditions for a Thin Film

Simplification of the Mass Transfer Equation for Pseudo-Binary Incompressible Mixtures with Constant Physical Properties

Simplification of the Molecular Vibration Analysis

Simplification of the Rankine-Hugoniot equations

Simplification of the Secular Equation

Simplification of the structure

Simplification of weld joint geometry

Simplification or drug dissection

Simplification physical model

Simplification quadratic approximation

Simplification rule

Simplification, application

Simplification, defined

Simplifications in

Simplifications of Butler-Volmer Equation

Simplifications rate data analysis

Simplifications small scale

Simplifications to the Navier-Stokes equations

Simplifications, acknowledging

Simplifications, unexpected

Spatial Symmetry Simplifications

Spectral simplification

Stereochemical simplification

Strategy simplification

System simplification

Test simplification

The Ab Initio Method, and Simplifications of it

The Quasilinearization Method and its Simplification

Work simplification

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