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Metal empirical models

A guide to tire stabilities of inter-metallic compounds can be obtained from the semi-empirical model of Miedema et al. (loc. cit.), in which the heat of interaction between two elements is determined by a contribution arising from the difference in work functions, A0, of tire elements, which leads to an exothermic contribution, and tire difference in the electron concentration at tire periphery of the atoms, A w, which leads to an endothermic contribution. The latter term is referred to in metal physics as the concentration of electrons at the periphery of the Wigner-Seitz cell which contains the nucleus and elecUonic structure of each metal atom within the atomic volume in the metallic state. This term is also closely related to tire bulk modulus of each element. The work function difference is very similar to the electronegativity difference. The equation which is used in tire Miedema treatment to... [Pg.220]

The active sites in our investigations are constituted by mononuclear surface transition-metal complexes (corresponding to low TMI loadings). Empirical models of such sites... [Pg.29]

Microscopic Subreactions and Macroscopic Proton Coefficients. The macroscopic proton coefficient may be used as a semi-empirical modeling variable when calibrated against major system parameters. However, x has also been used to evaluate the fundamental nature of metal/adsorbent interactions (e.g., 5). In this section, macroscopic proton coefficients (Xj and v) calculated from adsorption data are compared with the microscopic subreactions of the Triple-Layer Model ( 1 ) and their inter-relationships are discussed. [Pg.181]

One important application of analysis of variance is in the fitting of empirical models to reaction-rate data (cf. Section VI). For the model below, the analysis of variance for data on the vapor-phase isomerization of normal to isopentane over a supported metal catalyst (Cl)... [Pg.133]

Empirical Modeling. The effect of process variables on the rate of depKJsition and properties of electrolessly depKJsited metals is usually studied by one-factor-at-a-time experiments (one-factor experiments are discussed further later in the book). In these experiments the effect of a single variable (factor), such as Xj, in the multivariable process with the response y, y = fixi, %2, X3,. .., x ), is studied by varying the value (level) of this variable while holding the values of the other independent variable fixed, y Any prediction (extrapolation) of the effect of a single variable on... [Pg.160]

By considering that the average corrosion rate is influenced principally by the deposition rates of chloride and S02 and adding the effect of cleansing of the metallic surface caused by rain the following empirical model was proposed ... [Pg.73]

This simple empirical model for predicting the I.S. shift of a Mossbauer nucleus placed in a metallic system (alloys, as well as intermetallic compounds), uses differences in the tabulated macroscopic work functions and bulk moduli to model differences in the microscopic electronegativities and electron densities at... [Pg.19]

The Hartree-Fock approximation also provided the basis for what are now commonly referred to as semi-empirical models. These introduce additional approximations as well as empirical parameters to greatly simplify the calculations, with minimal adverse effect on the results. While this goal has yet to be fully realized, several useful schemes have resulted, including the popular AMI and PM3 models. Semi-empirical models have proven to be successful for the calculation of equilibrium geometries, including the geometries of transition-metal compounds. They are, however, not satisfactory for thermochemical calculations or for conformational assignments. Discussion is provided in Section n. [Pg.18]

The PM3 semi-empirical model turns in a surprisingly good account of metal-carbon (carbon monoxide) bond distances in these compounds. While PM3 is not as good as the best of the (density functional) models, individual bond lengths are typically within a few hundredths of an A from their respective experimental values, and larger deviations are uncommon. In view of cost considerations, PM3 certainly has a role in transition-metal structural chemistry. [Pg.148]

Hartree-Fock models are not reliable for geometry calculations on compounds incorporating transition metals, but the PM3 semi-empirical model and density functional models provide good accounts. While MP2 models provide reasonable geometries for many systems, structures for some transition-metal compounds are significantly in error. [Pg.348]

DFT calculations of the structure of the molecularly adsorbed NO are in reasonable agreement with experiments, but overestimate the binding energy [197,198]. A barrier of 2.1 eV to dissociation is predicted by DFT, with the NO at the transition state nearly parallel to the surface and N and atoms in bridge sites [199]. This transition state geometry is similar to that of NO dissociation on other close-packed metal surfaces [200]. There is no global DFT PES so that all theoretical dynamics is based only on empirical model PES. [Pg.195]

When my interest returned and we began researching the analytical applications of CD in the 70 s, I felt I had a head start. But there was so much that was new. A great deal had happened to CD over the years as it matured and expanded to include the far-UV the study of optical activity in excited state emissions, and in vibrational and Raman spectroscopy and the evolution of new empirical models applicable to the interpretation of the structural properties of macromolecules. Most important of all, perhaps, was the arrival of high tech electronics and materials which had brought CD instrumentation out of the dark ages. And now, ironically, almost 35 years after my introduction to CD, my special interest is the exploitation of chiral transition metal complexes as chirality induction reagents in chemical analysis. [Pg.354]

The Knudsen effusion method In conjunction with mass spectrometrlc analysis has been used to determine the bond energies and appearance potentials of diatomic metals and small metallic clusters. The experimental bond energies are reported and Interpreted In terms of various empirical models of bonding, such as the Pauling model of a polar single bond, the empirical valence bond model for certain multiply-bonded dlatomlcs, the atomic cell model, and bond additivity concepts. The stability of positive Ions of metal molecules Is also discussed. [Pg.109]

The use of empirical models of bonding has been Invaluable for the interpretation of the experimental dissociation energies of diatomrLc Intermetallic molecules as well as for the prediction of the bond energies of new molecules. In the course of our work, conducted for over a decade, we have extended the applicability of the Pauling model of a polar single bond (31) and have developed new models such as the empirical valence bond model for certain multiple bonded transition metal molecules (32,33) and the atomic cell model (34). [Pg.115]

In contrast with empirical models, quantum chemical methods do not provide adjustable force constants. It is therefore not unexpected that quantitative discrepancies appear when quantum chemical predictions are compared in detail with the results of NRVS measurements. NRVS results thus provide a benchmark for development of quantum chemical methods for transition metal systems. Using quantum chemical results as starting input in empirical calculations may be a valuable approach for future work. Meanwhile, however, reproduction is sufficiently accurate to guide the understanding of observed vibrational features. Mode descriptions given in the previous section largely rely on comparison with quantum chemical predictions. [Pg.6262]

In order to meet the requirements of a practical application, a metal hydride must first satisfy the thermodynamic requirements operation temperature and hydrogen pressure. As the entropy term of Eq. (1.11) is effectively the same for all compounds, this means that the heat of formation (AH) is the principal parameter of a given alloy for hydrogen storage applications. Unfortunately, first principles calculations of AH for ternary alloys are still lacking [47]. However, semi-empirical models can be applied for some systems and give useful physical insight on the hydride formation. [Pg.89]

In these expressions, by and br are the forward and reverse Tafel constants, respectively, for the metal dissolution reaction, with values of 0.06 V being assumed for both. Actually, they are empirical constants that were assumed a priori in fitting Eq. (9) to the current/voltage data. It is important to note that Eq. (9) applies strictly to Type 304 SS in near neutral solutions [35] and hence that this expression may not be a good empirical model for stainless steels in PWR primary circuits. More recently, the point defect model (PDM) [37] has been used as the basis for... [Pg.674]

Although the macromolecules constituting the dissolved organic matter often contain a large number of complexing sites, the experimental titration curve is evaluated by simple interpretation models. Semi-empirical models are frequently sufficient for comparative purposes and to describe the environmental properties of the metals studied. [Pg.125]


See other pages where Metal empirical models is mentioned: [Pg.120]    [Pg.41]    [Pg.113]    [Pg.347]    [Pg.84]    [Pg.133]    [Pg.20]    [Pg.48]    [Pg.91]    [Pg.140]    [Pg.149]    [Pg.153]    [Pg.350]    [Pg.807]    [Pg.110]    [Pg.384]    [Pg.315]    [Pg.364]    [Pg.121]    [Pg.1564]    [Pg.4718]    [Pg.268]    [Pg.293]    [Pg.177]    [Pg.13]    [Pg.69]    [Pg.488]    [Pg.284]   
See also in sourсe #XX -- [ Pg.192 , Pg.193 , Pg.194 ]




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