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Conduction energy spectrum

Fig. 4. The reflectivity (a) and the optical conductivity (b) in the p direction are similar to the ones along the a directions (Fig. 3). However, the absence of data above 4 eV changes the high energy spectrum of the optical conductivity. These changes are not relevant for the low frequency spectral range. The Maxwell-Garnett (MG) fit is also displayed as well as the intrinsic reflectivity and conductivity calculated from the fit (see Table 2 for the parameters). Fig. 4. The reflectivity (a) and the optical conductivity (b) in the p direction are similar to the ones along the a directions (Fig. 3). However, the absence of data above 4 eV changes the high energy spectrum of the optical conductivity. These changes are not relevant for the low frequency spectral range. The Maxwell-Garnett (MG) fit is also displayed as well as the intrinsic reflectivity and conductivity calculated from the fit (see Table 2 for the parameters).
According to the electronic theory, a particle chemisorbed on the surface of a semiconductor has a definite affinity for a free electron or, depending on its nature, for a free hole in the lattice. In the first case the chemisorbed particle is presented in the energy spectrum of the lattice as an acceptor and in the second as a donor surface local level situated in the forbidden zone between the valency band and the conduction band. In the general case, one and the same particle may possess an affinity both for an electron and a hole. In this case two alternative local levels, an acceptor and a donor, will correspond to it. [Pg.159]

In the various sections of this article, it has been attempted to show that heat-flow calorimetry does not present some of the theoretical or practical limitations which restrain the use of other calorimetric techniques in adsorption or heterogeneous catalysis studies. Provided that some relatively simple calibration tests and preliminary experiments, which have been described, are carefully made, the heat evolved during fast or slow adsorptions or surface interactions may be measured with precision in heat-flow calorimeters which are, moreover, particularly suitable for investigating surface phenomena on solids with a poor heat conductivity, as most industrial catalysts indeed are. The excellent stability of the zero reading, the high sensitivity level, and the remarkable fidelity which characterize many heat-flow microcalorimeters, and especially the Calvet microcalorimeters, permit, in most cases, the correct determination of the Q-0 curve—the energy spectrum of the adsorbent surface with respect to... [Pg.259]

A metal differs sharply from a dielectric by its electron energy spectrum at absolute zero. The basic state of a metal is contiguous to a continuous spectrum of states. For this reason, an arbitrarily weak electric field causes an electric current in the metal which depends on transition of the system to states which are arbitrarily close in energy to the basic state. On the other hand, the electron energy spectrum of a dielectric is characterized by the existence of a finite gap, a certain difference in energies between the basic state with minimum energy (In which there is no current) and adjacent excited states in which one of the electrons of the dielectric becomes free and electrical conductivity appears. [Pg.148]

In ultraviolet photoelectron spectroscopy (UPS or U-PES), the irradiation (usually a He(I) (21.2 eV) or He(II) (40.8 eV) source) causes the displacement of a valence electron. Although an important method of studying the electronic nature of molecules in the gas phase, it is less useful for studying the surfaces of metals, since the valence electrons are in a continuous (conducting) energy band with a spread of about 10 eV. Adsorbed layers can, however, usefully be investigated in terms of the difference between the spectrum following adsorption and that for the clean metal surface. [Pg.139]

In Rutherford back scattering, RBS, one uses a primary beam of high energy H+ or He+ ions (1-5 MeV), which scatter from the nuclei of the atoms in the target. A fraction of the incident ions is scattered back and is subsequently analyzed for energy. As in LEIS, the energy spectrum represents a mass spectrum, but this time it is characteristic for the interior of the sample [7]. The technique has successfully been applied to determine the concentration of, for example, rhodium in model systems where the rhodium is present in sub monolayer quantities on thin, conducting oxide films [19]. [Pg.383]

The distinction between semiconductors and insulators is only a question of orders of magnitude. On the basis of both the energy gap Ec and the electrical conductivity a, the insulating state will be defined rather arbitrarily in the present chapter by Ec > 0.5 to 1 eV and a < 10 3 to 10 4 S/cm (or 0 l cm-1) at room temperature. The distinction between metals and nonmetals is apparently clear There is no energy gap in the electronic energy spectrum of metals. However, we shall see below that the use of such a criterion is not always simple in practice. [Pg.313]

Experimental data can be obtained by ultra-violet absorption spectroscopy, electron energy loss spectroscopy and photoelectron spectroscopy. UV absorption and EELs have been described briefly in Chapter 3. The former provides information only about the band-gap, while EELs gives more general information about the conduction bands. Both X-rays and UV photons can be used to generate photoelectrons these two methods are given the acronyms XPS and UPS. The energy spectrum of the emitted electrons provides information about the density of electron states in the valence bands. In principle the size of the band gap can be obtained, but care must be taken as the absolute energy... [Pg.143]

T < 350 K the main mechanism responsible for electric transport is a thermal activation of electrons on the mobility edge E. Such type of conductivity (pre-exponent coefficient ao value) is anomalously low, which can be explained by self-compensation processes. Another possible factor for it might be a non-equilibrium energy spectrum for free... [Pg.408]

To use this method, the system of equations (4) must be complemented by the functions relate material parameters a, a and k to the impurity concentration N ,p and temperature.The more accurate the definition of these relations, the higher the accuracy of the Special investigations have been conducted based on our empirical data and the data from the world literature that allowed to approximate the functions of On,p, Cn,p and K ,p by the method. These relations are dictated by the energy spectrum of material, microscopic constants of substance and the character of current carrier scattering, polynomials. [Pg.505]

If the bands are parabolic (i.e. E k2) and we are within the effective mass approximation (for which it is assumed that all electron-electron and electron-nuclear interactions can be absorbed into an effective electron mass), explicit expressions for e2(co) can be obtained. These expressions will be most accurate near the so-called critical points, which are points in the energy spectrum at which a new transition has its onset or disappearance, or at which there is a change in the type of transition observed. The nature of a critical point is illustrated in Fig. 8, which shows a valence band and a wider conduction band. For this very simple system, there are four critical points, labelled A-D in the figure. The valence band (VB) and conduction band (CB) are characterised, within the effective-mass approximation, by effective masses m and m, where... [Pg.394]

The scattering terms are different depending on different statistics [25]. One is the collinear statistics where the equilibrium state is taken as the Fermi distribution of electrons in the conduction band without the SOC term (DP term). Therefore the energy spectrum is e (r,t) = k2/2m and the eigenstates of spin are the eigenstates of oz, i.e. /t = (l,0)r and > = (0,1)0 The other is the helix statistics where the equilibrium state is taken to be the Fermi distribution of electrons in the conduction band with the SOC. The energy spectrum is then = k2/2m + IA(A )I with < = 1 for the two spin branches. The... [Pg.16]

In this context it is noted that Kildal [2] proposed the energy spectrum of the conduction electrons in non-linear optical materials under the assumptions of isotropic momentum matrix element and isotropic spin-orbit splitting, respectively, although the anisotropies of the aforementioned band parameters are the significant physical features of this compound. Besides, III-V optoelectronic compounds find extensive application in distributed feedback lasers and infrared photodetectors. In what follows, we study the photoemission in quantum confined CdGeAs2 on the basis of a newly formulated electron... [Pg.121]

A quantum dot is made from a semiconductor nanostructure that confines the motion of conduction band electrons, valence band holes, or excitons (bound pairs of conduction band electrons and valence band holes) in all three spatial directions. A quantum dot contains a small finite number (of the order of 1 to 100) of conduction band electrons, valence band holes, or excitons, that is, a finite number of elementary electric charges (Scheme 16.2). The reason for the confinement is either the presence of an interface between different semiconductor materials (e.g. in coie-sheU nanocrystal systems) or the existence of the semiconductor surface (e.g. semiconductor nanocrystal). Therefore, one quantum dot or numerous quantum dots of exactly the same size and shape have a discrete quantized energy spectrum. The corresponding wave functions are spatially localized within the quantum dot, but they always extend over many periods of the crystal lattice (5). [Pg.541]

For systems containing localized magnetic moments, the thermopower has not been theoretically investigated in such detail as the resistivity. An expression for the thermopower of ferromagnetic materials with localized moments has been obtained by Kasuya (1959) in both the molecular field approximation and the spin wave approximation. In the former case, Kasuya used a molecular field approximation to obtain the energy spectrum of the conduction electrons and the localized magnetic moments. In addition he assumed that the spin-flip transition probabilities for scattering of electrons by local moments dominate the non-spin-flip transition probabilities. [Pg.143]

By analyzing the temperature dependence of the electrical properties, using our results (Fig. 5) and published data [9,10], another characteristic feature of the structure of CrSi2 crystals becomes apparent, which makes the energy spectrum of valence electrons in this compound more precise. A calculation of the lattice thermal conductivity of single crystals, taken as the difference between the total and electronic thermal conductivities (Fig. 5), as a function of temperature, shows that it decreases continuously up to the maximum measurement temperature. This Indicates the absence of an additional heat transfer component due to ambipolar diffusion of carriers [18] in the intrinsic conduction range. [Pg.24]

Thus, we now recognize that the only sure sign of a semiconductor is a gap in the energy spectrum of its electrons. It is the presence of this gap that divides semiconductors from metals and alloys, in which the predominantly metallic bonds result in the overleq) of the valence and the conduction bands. [Pg.57]

With very intensive chemiluminescence reactions, owing to the observed right shift of the energy spectrum of the chemiluminescence, radioactivity measurements may be vitiated even if the measurements are conducted with a raised lower discriminator threshold. [Pg.279]

Fig. 3.5. The energy spectrum of the valence and conduction molecular-orbital states for a dimerized, linear chain. A particle-hole excitation and its degenerate counterpart, connected by the paxticle-hole transformation, are shown. 2A is the charge gap, shown as a function of inverse chain length in Fig. 3.6. Fig. 3.5. The energy spectrum of the valence and conduction molecular-orbital states for a dimerized, linear chain. A particle-hole excitation and its degenerate counterpart, connected by the paxticle-hole transformation, are shown. 2A is the charge gap, shown as a function of inverse chain length in Fig. 3.6.

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