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Mapping approach

Since traditional process flow diagrams can be developed from the process maps, it is probably slightly better to use the mapping approach. If traditional flow diagrams are required they can be generated later to help identify redundancies, bottlenecks, etc. [Pg.63]

This approach is equivalent to the maximum a posteriori (MAP) approach derived by Wallner (Wallner, 1983). The position of the maximum is unchanged by a monotonic transformation and hence further simplification can be achieved by taking the logarithm of Eq. 8... [Pg.379]

For instance and following the MAP approach, blind deconvolution involves the minimization of the join criterion (Thiebaut and Conan, 1995 Thiebaut, 2002) ... [Pg.419]

Input Analysis addresses input mapping approaches that transform input data without knowledge of or interest in output variables. [Pg.9]

DOPPLER-SELECTED TIME-OF-FLIGHT TECHNIQUE A VERSATILE THREE-DIMENSIONAL VELOCITY MAPPING APPROACH... [Pg.1]

Considering the semiclassical description of nonadiabatic dynamics, only the mapping approach [99, 100] and the equivalent formulation that is obtained by requantizing the classical electron analog model of Meyer and Miller [112] appear to be amenable to a numerical treatment via an initial-value representation [114, 116, 117, 121, 122]. Other semiclassical formulations such as Pechukas path-integral formulation [45] and the various connection... [Pg.249]

Second, the mapping approach to nonadiabatic quantum dynamics is reviewed in Sections VI-VII. Based on an exact quantum-mechanical formulation, this approach allows us in several aspects to go beyond the scope of standard mixed quantum-classical methods. In particular, we study the classical phase space of a nonadiabatic system (including the discussion of vibronic periodic orbits) and the semiclassical description of nonadiabatic quantum mechanics via initial-value representations of the semiclassical propagator. The semiclassical spin-coherent state method and its close relation to the mapping approach is discussed in Section IX. Section X summarizes our results and concludes with some general remarks. [Pg.250]

The mapping approach outlined above has been designed to furnish a well-defined classical limit of nonadiabatic quantum dynamics. The formalism applies in the same way at the quantum-mechanical, semiclassical (see Section VIII), and quasiclassical level, respectively. Most important, no additional assumptions but the standard semiclassical and quasi-classical approximations are needed to get from one level to another. Most of the established mixed quantum-classical methods such as the mean-field-trajectory method or the surface-hopping approach do invoke additional assumptions. The comparison of the mapping approach to these formulations may therefore (i) provide insight into the nature of these additional approximation and (ii) indicate whether the conceptual virtues of the mapping approach may be expected to result in practical advantages. [Pg.308]

The problem of an unphysical flow of ZPE is not a specific feature of the mapping approach, but represents a general flaw of quasi-classical trajectory methods. Numerous approaches have been proposed to fix the ZPE problem [223]. They include a variety of active methods [i.e., the flow of ZPE is controlled and (if necessary) manipulated during the course of individual trajectories] and several passive methods that, for example, discard trajectories not satisfying predefined criteria. However, most of these techniques share the problem that they manipulate individual trajectories, whereas the conservation of ZPE should correspond to a virtue of the ensemble average of trajectories. [Pg.310]

Figure 19. Time-dependent (a) diabatic and (b) adiabatic electronic excited-state populations and (c) vibrational mean positions as obtained for Model 1. Shown are results of the mean-field trajectory method (dotted lines), the quasi-classical mapping approach (thin full lines), and exact quantum calculations (thick full lines). Figure 19. Time-dependent (a) diabatic and (b) adiabatic electronic excited-state populations and (c) vibrational mean positions as obtained for Model 1. Shown are results of the mean-field trajectory method (dotted lines), the quasi-classical mapping approach (thin full lines), and exact quantum calculations (thick full lines).
A value of y = 1 corresponds to the original mapping formulation, which takes into account the full amount of ZPE. If, on the other hand, all electronic ZPE is neglected (i.e., y = 0), the mapping approach becomes equivalent to the mean-field trajectory method. [Pg.312]

Considering the practical application of the mapping approach, it is most important to note that the quantum correction can also be determined in cases where no reference calculations exist. That is, if we a priori know the long-time limit of an observable, we can use this information to determine the quantum correction. For example, a multidimensional molecular system is for large times expected to completely decay in its adiabatic ground state, that is. [Pg.312]

Next, we consider Model III, which describes an ultrafast photoinduced isomerization process. Figure 26 shows quantum-mechanical results as well as results of the ZPE-corrected mapping approach for three different observables ... [Pg.319]

Figure 26. Time-dependent simulations of the nonadiabatic photoisomerization dynamics exhibited by Model III, comparing results of the ZPE-corrected classical mapping approach (dotted lines) and exact quantum calculations (full lines). Shown are the population probabilities P t) and of the initially prepared adiabatic (a) and diabatic (b) electronic state, respectively, as well as the probability Pcis t) that the system remains in the initially prepared cis conformation (c). Figure 26. Time-dependent simulations of the nonadiabatic photoisomerization dynamics exhibited by Model III, comparing results of the ZPE-corrected classical mapping approach (dotted lines) and exact quantum calculations (full lines). Shown are the population probabilities P t) and of the initially prepared adiabatic (a) and diabatic (b) electronic state, respectively, as well as the probability Pcis t) that the system remains in the initially prepared cis conformation (c).
Because the mapping approach treats electronic and nuclear dynamics on the same dynamical footing, its classical limit can be employed to study the phase-space properties of a nonadiabatic system. With this end in mind, we adopt a onemode two-state spin-boson system (Model IVa), which is mapped on a classical system with two degrees of freedom (DoF). Studying various Poincare surfaces of section, a detailed phase-space analysis of the problem is given, showing that the model exhibits mixed classical dynamics [123]. Furthermore, a number of periodic orbits (i.e., solutions of the classical equation of motion that return to their initial conditions) of the nonadiabatic system are identified and discussed [125]. It is shown that these vibronic periodic orbits can be used to analyze the nonadiabatic quantum dynamics [126]. Finally, a three-mode model of nonadiabatic photoisomerization (Model III) is employed to demonstrate the applicability of the concept of vibronic periodic orbits to multidimensional dynamics [127]. [Pg.326]

To study to what extent the mapping approach is able to reproduce the quantum results of Model 111, Eigs. 34 and 35 show the quasi-classical probability densities P (cp,f) for the two cases. The classical calculation for E = 0 is seen to accurately match the initial decay of the quantum-mechanical... [Pg.336]

Following a brief introduction of the basic concepts of semiclassical dynamics, in particular of the semiclassical propagator and its initial value representation, we discuss in this section the application of the semiclassical mapping approach to nonadiabatic dynamics. Based on numerical results for the... [Pg.341]


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See also in sourсe #XX -- [ Pg.623 , Pg.659 ]




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