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Physical Observations

of course, well known that metal-semiconductor interfaces frequently have rectifier characteristics. It is significant, however, that this characteristic has been confirmed specifically for systems that have been used as inverse supported catalysts, including the system NiO on Ag described above as catalyst for CO-oxidation. In the experimental approach taken, nickel was evaporated onto a silver electrode and then oxidized in oxygen. A space charge-free counter-electrode was then evaporated onto the nickel oxide layer, and the resulting sandwich structure was annealed. The electrical characteristic of this structure is represented in Fig. 8. The abscissa (U) is the applied potential the ordi- [Pg.19]

Temperature dependence of conductivity of semiconductor pellets with and without added 10% wt of silver powder. The logarithm of structure-independent conductivity is plotted as a function of the reciprocal absolute temperature (degrees Celsius on top of the figure). Full lines are measured, dotted parts extrapolated (79). (Copyright by the Universite de Liege. Reprinted with permission.) [Pg.20]

Th02 shows a very interesting behavior. Although it is an n-type semiconductor, it reacts like the p-conductors mentioned in the silver-conductivity test. This is consistent with the fact that Th02 is the only oxide with a work function lower than that of silver it will tend to emit electrons into the metal rather than accept them. [Pg.21]

These observations again confirm the basic hypothesis used for the electronic interpretation of catalytic efects in catalyst-support systems, namely that in boundary layers (or in grains of correspondingly small size) electrons are exchanged between catalysts and support. [Pg.21]

The experimental results described in this review support the concept that, in certain reactions of the redox type, the interaction between catalysts and supports and its effect on catalytic activity are determined by the electronic properties of metals and semiconductors, taking into account the electronic effects in the boundary layer. In particular, it has been shown that electronic effects on the activity of the catalysts, as expressed by changes of activation energies, are much larger for inverse mixed catalysts (semiconductors supported and/or promoted by metals) than for the more conventional and widely used normal mixed catalysts (metals promoted by semiconductors). The effects are in the order of a few electron volts with inverse systems as opposed to a few tenths of an electron volt with normal systems. This difference is readily understandable in terms of the different magnitude of, and impacts on electron concentrations in metals versus semiconductors. [Pg.21]


We have described here one particular type of molecular synnnetry, rotational symmetry. On one hand, this example is complicated because the appropriate symmetry group, K (spatial), has infinitely many elements. On the other hand, it is simple because each irreducible representation of K (spatial) corresponds to a particular value of the quantum number F which is associated with a physically observable quantity, the angular momentum. Below we describe other types of molecular synnnetry, some of which give rise to finite synnnetry groups. [Pg.140]

Consider a set of physical observables t)). If a small external field fcouples to the observable... [Pg.718]

The classical microscopic description of molecular processes leads to a mathematical model in terms of Hamiltonian differential equations. In principle, the discretization of such systems permits a simulation of the dynamics. However, as will be worked out below in Section 2, both forward and backward numerical analysis restrict such simulations to only short time spans and to comparatively small discretization steps. Fortunately, most questions of chemical relevance just require the computation of averages of physical observables, of stable conformations or of conformational changes. The computation of averages is usually performed on a statistical physics basis. In the subsequent Section 3 we advocate a new computational approach on the basis of the mathematical theory of dynamical systems we directly solve a... [Pg.98]

Spices are natural agricultural products and exhibit a range of variations of many specific characteristics. The most important quaUty assessment is the subjective physical observation of the whole or ground spice by an expert. The macroscopic and microscopic examination of spice is the criterion for the continued analysis of the product to determine adherance to specifications. [Pg.27]

The mere existence of different predicted stiffnesses for different arrays leads to an important physical observation Variations in composite material manufacturing will always yield variations in array geometry and hence in composite moduli. Thus, we cannot hope to predict composite moduli precisely, nor is there any need to Approximations such as the Halpin-Tsai equations should satisfy all practical requirements. [Pg.156]

Prediction of the strength of fiber-reinforced composite materials has not achieved the near-esoteric levels of the stiffness predictions studied in the preceding sections. Nevertheless, there are many interesting physical models for the strength characteristics of a matrix reinforced by fibers. Most of the models represent a very high degree of integration of physical observation with the mechanical description of a phenomenon. [Pg.163]

Atoms defined in this way can be treated as quantum-mechanically distinct systems, and their properties may be computed by integrating over these atomic basins. The resulting properties are well-defined and are based on physical observables. This approach also contrasts with traditional methods for population analysis in that it is independent of calculation method and basis set. [Pg.198]

The assumptions involved in determining these physical observables have already been discussed above. We leave comments on the choice of P to someone more qualified. The important points of Eqs. (3.56)—(3.60) and (3.62) —(3.65) are re-iterated here. [Pg.271]

Group I relies, as said before, on the reductionistic ideal that everything, in the field of chemistry, is amenable to the first principles and that a correct applications of the principles, accompanied by the necessary computational effort, will give the answer one is searching. It is a rigourous approach, based on quantum mechanical principles, in which the elements of the computation have no cognitive status, unless when employed to get numerical values of physical observables or of other quantities having a well defined status in the theory. [Pg.8]

Every physical observable A is represented by a linear hermitian operator A. [Pg.85]

Every individual measurement of a physical observable A yields an eigenvalue of the corresponding operator A. The average value or expectation value A) from a series of measurements of A for systems, each of which is in the exact same state... [Pg.85]

The expectation value or mean value A) of the physical observable A at time t for a system in a normalized state is given by... [Pg.87]

We have shown in Section 3.5 that commuting hermitian operators have simultaneous eigenfunctions and, therefore, that the physical quantities associated with those operators can be observed simultaneously. On the other hand, if the hermitian operators A and B do not commute, then the physical observables A and B cannot both be precisely determined at the same time. We begin by demonstrating this conclusion. [Pg.99]

Some or all of the eigenvalues may be degenerate, but each eigenfunction has a unique index i. Suppose further that the system is in state aj), one of the eigenstates of A. If we measure the physical observable A, we obtain the result aj. What happens if we simultaneously measure the physical observable B To answer this question we need to calculate the expectation value (B) for this system... [Pg.99]

The equation fully complies with all observations made. The copper ion precipitates as red copper on the zinc strip, and the color of the solution fades on account of this. Zinc metal dissolves and enters the solution as zinc ions hence, the surface of the zinc metal shows pitting. Because a zinc ion solution is colorless, the increase in zinc ion concentration is physically observed as color fading. Energy is liberated, as indicated by the temperature of the solution rising by several degrees. With electrons positioned in their correct places, one can write, for the two processes, separate equations as shown below ... [Pg.625]

Alternatively, we can base our analysis on the electron density, which as we have seen, is readily obtained from the wave function. The advantage of analyzing the electron density is that, unlike the wave function, the electron density is a real observable property of a molecule that, as we will see in Chapter 6, can be obtained from X-ray crystallographic studies. At the present time however, it is usually simpler to obtain the electron density of a molecule from an ab initio calculations rather than determine it experimentally. Because this analysis is based on a real physically observable property of a molecule, this approach appears to be the more fundamental. It is the approach taken by the atoms in molecules (AIM) theory, which we discuss in Chapters 6 and 7, on which we base part of the discussion in Chapters 8 and 9. [Pg.82]

Unlike an orbital, the electron density of a molecule is a physical observable that can be obtained by experiment and also by calculation using ab initio or density functional theory methods. [Pg.278]

Physical observables are related to Gj (r,r E) only. Therefore in the case of the billiard the finite-temperature Green s function is... [Pg.175]

Now the expectation (mean) value of any physical observable (A(t)) = Yv Ap(t) can be calculated using Eq. (22) for the auto-correlation case (/ = /). For instance, A can be one of the relaxation observables for a spin system. Thus, the relaxation rate can be written as a linear combination of irreducible spectral densities and the coefficients of expansion are obtained by evaluating the double commutators for a specific spin-lattice interaction X in the auto-correlation case. In working out Gm x) [e.g., Eq. (21)], one can use successive transformations from the PAS to the (X, Y, Z) frame, and the closure property of the rotation group to rewrite D2mG(Qp ) so as to include the effects of local segmental, molecular, and/or collective motions for molecules in LC. The calculated irreducible spectral densities contain, therefore, all the frequency and orientational information pertaining to the studied molecular system. [Pg.77]

The double commutator [[g, Tr /) (/], Tlp q may form new operators different from Q, and some of these new operators may not even be physical observables. When the double commutator conserves the operator Q, one speaks of the auto-correlation mechanism. Otherwise, one speaks of the cross-relaxation process. In other words, cross-relaxation is independent of the nature of the relaxation mechanism, but involves the interconversion between different operators. To facilitate such a possibility, it is desirable to write the density operator in terms of a complete set of orthogonal basis... [Pg.77]


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Compounding physical observations

Computation of Physical Observables

Physical Observables and Phase Variables

Physical laws and observations

Physical observables

Physical observables

Physical observables as random variables

Relations Between Physical Observables

Statistical analysis physical observations

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