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From the computational point of view, the direct evaluation of number density and current at a given point x is not practical because the microscopic expressions [Pg.24]

The label change probability p can be achieved through a standard Monte Carlo procedure, using pseudorandom numbers uniformly distributed on the (0,1) interval. The generation of such numbers is extensively discussed by Jansson and by Dieter and Ahrens.  [Pg.25]

It is perhaps of interest to note that instead of a single label, particles can be assigned a set of labels, I, = (/,i, /,-2. /ic) for particle i, with one label for each of a set of probabilities p = (pi, P2 Pc) for label change determination. Since each value of p is expected to yield a different steady-state number density gradient, one can, with a single molecular dynamics trajectory, perform a number of self-diffusion experiments. Moreover, a different set of labels can be used to label particles with respect to crossings of the y-boundaries and, in three dimensions, a third set iP can be used with respect to the 2-boundaries. [Pg.25]

One final note concerns the initial state. In order to reduce the initial transient, we impose an initial labeling having a number density gradient approximating that expected in the steady state. Hie initial current, however, is not so readily adjusted, so that in the calculation reported below the initial current turns out to be very small, of the order of the fluctuations in the particle velocity. [Pg.25]


The starting point to obtain a PP and basis set for sulphur was an accurate double-zeta STO atomic calculation4. A 24 GTO and 16 GTO expansion for core s and p orbitals, respectively, was used. For the valence functions, the STO combination resulting from the atomic calculation was contracted and re-expanded to 3G. The radial PP representation was then calculated and fitted to six gaussians, serving both for s and p valence electrons, although in principle the two expansions should be different. Table 3 gives the numerical details of all these functions. [Pg.17]

Six-dimensional, numerically accurate four-atom wave packet calculations were pioneered by Zhang and Zhang [17] and Neuhauser [18]. While numerous details of the present RWP implementation differ from these earlier approaches, it should be noted that many of the general ideas remain the same. In applications, finite-sized grids and basis sets are introduced to describe the wave packet, and... [Pg.10]

For the orbital doublet ground states of the bis-arene series there is virtually no information the d9, 2II complex, Co (HMBz)2, has been reported to show three different g values (but no numerical details were given) (122), whilst for Fe(HMBz)2+ in 50%aqueous ethanol at 25 K the valuesgz = 2.086, gx = 1.865, andg = 1.996 were recorded (121). From these resalts Ammeter etal. (142) calculate k V4S = 0.40 and /A = 0.17, which corresponds to a substantial A of almost 2060 cm-1, if g is taken as 350 cm-1. [Pg.124]

Equation 33.32 can be solved by numerical techniques. For numerical details, we refer the reader to Refs. [10,11]. In the remaining part of this section, we present theoretical predictions derived from such calculations which can be compared with experimental findings. According to the Figure 33.3, we expect the 3d orbital energy to stay below the 4s orbital energy for small confinements. [Pg.532]

The next step was the full industrial-size element. It was developed jointly by Bayer and DeNora and constructed at the DeNora production site in Milan. The result of numerous detailed solutions and innovations was a test electrolyser with... [Pg.64]

Union Carbide (34) and in particular Dow adopted the continuous mass polymerization process. Credit goes to Dow (35) for improving the old BASF process in such a way that good quality impact-resistant polystyrenes became accessible. The result was that impact-resistant polystyrene outstripped unmodified crystal polystyrene. Today, some 60% of polystyrene is of the impact-resistant type. The technical improvement involved numerous details it was necessary to learn how to handle highly viscous polymer melts, how to construct reactors for optimum removal of the reaction heat, how to remove residual monomer and solvents, and how to convey and meter melts and mix them with auxiliaries (antioxidants, antistatics, mold-release agents and colorants). All this was necessary to obtain not only an efficiently operating process but also uniform quality products differentiated to meet the requirements of various fields of application. In the meantime this process has attained technical maturity over the years it has been modified a number of times (Shell in 1966 (36), BASF in 1968 (37), Granada Plastics in 1970 (38) and Monsanto in 1975 (39)) but the basic concept has been retained. [Pg.271]

In the text which follows we shall examine in numerical detail the decision levels and detection limits for the Fenval-erate calibration data set ( set-B ) provided by D. Kurtz (17). In order to calculate said detection limits it was necessary to assign and fit models both to the variance as a function of concentration and the response (i.e., calibration curve) as a function of concentration. No simple model (2, 3 parameter) was found that was consistent with the empirical calibration curve and the replication error, so several alternative simple functions were used to illustrate the approach for calibration curve detection limits. A more appropriate treatment would require a new design including real blanks and Fenvalerate standards spanning the region from zero to a few times the detection limit. Detailed calculations are given in the Appendix and summarized in Table V. [Pg.58]

Bulk phase fluid structure was obtained by solution of the Percus-Yevick equation (W) which is highly accurate for the Lennard-Jones model and is not expected to introduce significant error. This allows the pressure tensors to return bulk phase pressures, computed from the virial route to the equation of state, at the center of a drop of sufficiently large size. Further numerical details are provided in reference 4. [Pg.22]

In discussing the mode of action of the xylanases only selected features will be discussed as there are numerous detailed reviews on this topic... [Pg.622]

Our first example, the DOS for bulk Ag, is shown in Fig. 8.1. There are several points to notice associated with the numerical details of this calculation. First, a large number of k points were used, at least relative to the number of k points that would be needed to accurately determine the total energy of Ag (see, e.g., Fig. 3.2). Using a large number of k points to calculate the DOS is necessary because, as described above, the details of the DOS come from integrals in k space. [Pg.180]

The third numerical detail that is important in Fig. 8.1 arises from the fact that Ag is a metal and the observation that the DOS is obtained from integrals in k space. In Section 3.1.4 we described why performing integrals in k space for metals holds some special numerical challenges. The results in Fig. 8.1 were obtained by using the Methfessel and Paxton smearing method to improve the numerical precision of integration in k space. [Pg.181]

Specify the numerical details used in performing the calculations. A nonexhaustive list of these details include the size and shape of the supercell, the number and location of the k points, the method and... [Pg.211]

If the ends of the rows wrap around so that the leftmost element of each row is the rightmost element of the row above, and so on, the matrix is called circulant. The foregoing properties have significance when noniterative solutions to the matrix-posed problem are sought by discrete Fourier transform. Andrews and Hunt (1977) provide numerous details and references, especially for the case in which these linear methods are applied to the restoration of two-dimensional images. [Pg.74]

To demonstrate the procedure, we continue the discussion on the behavior of tetra-chloroethene (PCE) in Greifensee (see Box 21.2). Based on repeated measurements we have assumed that the PCE concentration in the lake is at steady-state. Now we want to make sure that this conclusion is not biased either by a long-term trend or by periodic fluctuations of the PCE input into the lake. The numerical details of the analysis are given in Box 21.4. [Pg.964]

Up to this point, the picture we have presented is quite clear and, aside from refined numerical details, accepted without reservations. It is in the search for the detailed mechanism for the NO + O chemiluminescent reaction that serious problems arise. As this field has been extensively reviewed recently by Schiff370 and by Spindler,396 we shall concentrate on the more significant aspects of the controversy. [Pg.243]

FIGURE 8.10 The phase diagram for water shown with more numerical detail. C is the critical point. [Pg.505]

This particular case is quoted only because the author found it more convenient to calculate than the general second-order expression. Full numerical details are given by Horn and Huber47 for various combinations of initial concentrations. [Pg.141]

Detailed modelling, or numerical simulation, provides a method we can use to study complex reactive flow processes (1). Predictions about the behavior of a physical system are obtained by solving numerically the multi-fluid conservation equations for mass, momentum, and energy. Since the success of detailed modelling is coupled to one s ability to handle an abundance of theoretical and numerical detail, this field has matured in parallel with the increase in size and speed of computers and sophistication of numerical techniques. [Pg.331]

Firearms and their associated ammunition, spent bullets, and spent cartridge cases provide useful information for identifying suspects, terrorist groups, and the criminal history of a weapon. Unfortunately, despite the numerous detailed books on the physical aspects of firearms, very little has been published on the chemical aspects, and what has been published is sparse and fragmented. [Pg.293]

Figure 10.46 shows the current views on the mechanism of the 1,4-addition of Gilman cuprates to cyclohexenone. The numerous details, which have been elucidated or made plausible over the past years, force us to break down the general view of this mechanism into two halves. [Pg.445]


See other pages where Numerical Details is mentioned: [Pg.2112]    [Pg.536]    [Pg.1161]    [Pg.129]    [Pg.22]    [Pg.343]    [Pg.25]    [Pg.283]    [Pg.74]    [Pg.166]    [Pg.185]    [Pg.212]    [Pg.219]    [Pg.780]    [Pg.375]    [Pg.1006]    [Pg.967]    [Pg.536]    [Pg.114]    [Pg.78]    [Pg.38]    [Pg.23]    [Pg.301]    [Pg.454]    [Pg.185]    [Pg.528]    [Pg.138]    [Pg.509]    [Pg.537]   


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