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Dirac density distribution

In fact, in this theory the presence of a given localized state density in the gap and the Fermi-Dirac distribution of electrons trapped in the localized states contribute to give an 7d expression differing from that of c-Si FETs expressed by Eq. (2). In Kishida et al. (1983) two expressions of the drain current in a-Si H FETs are given. One refers to the hypothesis of an exponential localized state density distribution, the other to the assumption of a uniform localized-state density distribution. As an example we shall... [Pg.232]

This result is exactly identical to the equation given by Kim and Page [33] on the basis of another theory. Now, we might see that this is the density function of a modulated Gaussian distribution, where the modulating term has finite amplitude which runs over in time, while the Gaussian distribution sharpens toward to a Dirac delta distribution. This means that the particle will get closer and closer to the equilibrium point as f From last result, we can conclude that in the case of (3 -> 0 we get back to the well-known wave function of the simple oscillator. [Pg.62]

The term Lamb shift of a single atomic level usually refers to the difference between the Dirac energy for point-like nuclei and its observable value shifted by nuclear and QED effects. Nuclear effects include energy shifts due to static nuclear properties such as the size and shape of the nuclear charge density distribution and due to nuclear dynamics, i.e. recoil correction and nuclear polarization. To a zeroth approximation, the energy levels of a hydrogen-like atom are determined by the Dirac equation. For point-like nuclei the eigenvalues of the Dirac equation can be found analytically. In the case of extended nuclei, this equation can be solved either numerically or by means of successive analytical approximation (see Rose 1961 Shabaev 1993). [Pg.47]

This is the charge density distribution for the point-like nucleus case (PNC), which we include for completeness and because of the importance of this model as a reference for any work with an extended model of the atomic nucleus (finite nucleus case, FNC). The charge density distribution can be given in terms of the Dirac delta distribution as... [Pg.222]

A uniform distribution of charge over the surface of a sphere of radius R can be represented as charge density distribution in terms of the Dirac delta distribution as follows ... [Pg.223]

The use of extended nuclear charge density distributions, instead of the simple point-like Dirac delta distribution, is almost a standard in present-... [Pg.250]

Slater proposes an effective quantum number n = 3.7, the atomic factor can only be presented in the form of a sum with an infinite number of components. The series may be terminated if the effective quantum number for the N shell is taken as 3.5, 4.0, or 4.5. We calculated values of the atomic factor for the neutral Br atom with different values of n. The most satisfactory agreement with the theoretical form factors, calculated according to the Thomas—Fermi—Dirac model, was obtained at n — 4.5 screening coefficients proposed in [11] were used in the calculations. The equation of the atomic scattering function for the N shell in the case of a spherically symmetrical electron density distribution and n — 4.5 has the following form ... [Pg.76]

Therefore, the electron density distribution p (r) is given for a point r in the units the number of electrons per volume unit. Since p(r) represents an integral of a non-negative integrand, p(r) is always non-negative. Let us check that p may be also defined as the mean value of the electron density operator p(r) = XliLi r), a sum of the Dirac delta operators (cf. Appendix E available at booksite.elsevier.com/978-0-444-59436-5 on p. e69) for individual electrons at position r ... [Pg.666]

Fig. 10 Illustration of density distribution in real block copolymer micellar systems. The data correspond to a core with a constant density profile convoluted by Gaussian function. The density profile of the corona grafted to the core is calculated using a Fermi-Dirac function n(r) (1 -I- exp[(r - Rm)/ ( Fig. 10 Illustration of density distribution in real block copolymer micellar systems. The data correspond to a core with a constant density profile convoluted by Gaussian function. The density profile of the corona grafted to the core is calculated using a Fermi-Dirac function n(r) (1 -I- exp[(r - Rm)/ (<rm m)]) - The parameters (see text for details) are = 30 A, = 150 A, <T = 0.1 and (Tin, = 5 A...
Imagine a distribution po(X) which we may take to be an initial macroscopic state of a stochastic differential equation system. This might be a smooth probability density such as a Gaussian, the indicator function for a small disk D in the phase space, or, in the extreme case a Dirac delta distribution (indicating that all initial conditions are clustered at a single point in phase space). The density evolves according to the partial differential equation... [Pg.249]

Here the subscript i represents molecule species. The bracket stands for the ensemble average and S x) is the Dirac delta function. The distribution of one-body density reflects the microscopic structure of the corresponding fluid system. To illustrate. Fig. 3A depicts a typical reduced one-body density distribution of simple solvent (blue spheres (dark gray in the print... [Pg.11]

Figure 7 plots the surface pressure as a function of the separation H between two paralleled slit wall filled with one-component HS duid. The external potential for the confined HS fluid is zero if 0 < zsurface pressure, i.e., can be calculated from the integration of one-body density distribution multiplying the external force over the distance ar. In the circumstance of hard-waU, the external force recovers to a Dirac delta function and thus the surface pressure is directly related to the fluid contact density p z = 0). The predicted results from MFMT and original FMT are compared with simulation results. This comparison shows that FMT, especially the modified version, can yield very accurate results. [Pg.23]

In the DQMOM approach the number density distribution function appearing in the PBE can be thought of as a summation of multi-dimensional Dirac delta functions ... [Pg.1196]

Changes in the electron density distribution p r) nicely reflect trends in calculated one-electron properties due to the stepwise addition of different correlation effects within the MP series. The total electron density distribution p r) at a point rp is the response of the molecule to an external perturbation that corresponds to the Dirac delta operator S rp — r). [Pg.1730]

Fig. 2. (a) Energy, E, versus wave vector, k, for free particle-like conduction band and valence band electrons (b) the corresponding density of available electron states, DOS, where Ep is Fermi energy (c) the Fermi-Dirac distribution, ie, the probabiUty P(E) that a state is occupied, where Kis the Boltzmann constant and Tis absolute temperature ia Kelvin. The tails of this distribution are exponential. The product of P(E) and DOS yields the energy distribution... [Pg.344]

Fig. 3-3. Some Important Probability Density Functions and Their Corresponding Distribution Functions. Arrows are used to indicate Dirac delta functions with the height of the arrow indicating the area under the delta function. Fig. 3-3. Some Important Probability Density Functions and Their Corresponding Distribution Functions. Arrows are used to indicate Dirac delta functions with the height of the arrow indicating the area under the delta function.
The next example will illustrate the technique of calculating moments when the probability density function contains Dirac delta functions. The mean of the Poisson distribution, Eq. (3-29), is given by... [Pg.122]

Given the total density from Eq. (4.17), the temperature follows from the equation of state which depends in turn on what particles are present. For any one species i, with temperature T,. we have from the Fermi-Dirac or Bose-Einstein distribution, Eq. (2.41),... [Pg.124]

The principle of the computation is to use the expressions of the forward and backward rate constant as being those of individual rate constants and sum these individual rate constants over all electronic states weighting the contribution of each state according to the Fermi-Dirac distribution.44 Assuming that H, and the density of states and therefore Kei, are independent of the energy of the electronic states,45 the results are expressed by the following equations (see Section 6.1.8) ... [Pg.39]

This model is directly derived from the Langmuir isotherm. It assumes that the adsorbent surface consists of two different types of independent adsorption sites. Under this assumption, the adsorption energy distribution can be modeled by a bimodal discrete probability density function, where two spikes (delta-Dirac functions) are located at the average adsorption energy of the two kinds of sites, respectively. The equation of the Bilangmuir isotherm is... [Pg.292]


See other pages where Dirac density distribution is mentioned: [Pg.170]    [Pg.170]    [Pg.105]    [Pg.637]    [Pg.54]    [Pg.165]    [Pg.204]    [Pg.229]    [Pg.248]    [Pg.407]    [Pg.1017]    [Pg.1323]    [Pg.294]    [Pg.146]    [Pg.200]    [Pg.2375]    [Pg.618]    [Pg.1017]    [Pg.103]    [Pg.486]    [Pg.100]    [Pg.128]    [Pg.36]    [Pg.59]    [Pg.22]    [Pg.254]    [Pg.220]    [Pg.274]   
See also in sourсe #XX -- [ Pg.170 ]




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