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Evolution terms

For the description of a pulse sequence as a time-related series of processes the density matrix must be described in time-evolution terms. Starting from the time-dependent ScHRODiNGER equation the Liouville-von Neumann equation is obtained in density matrix formalism as ... [Pg.23]

Darcy s law is valid for creeping flow (negligible inertial effects) in a large-scale porous medium in which the possible disturbances that may be introduced into the system at the boundaries have negligible effects on the flow. In this case, both the time evolution term and the viscous diffusion term can be dropped from the momentum equation, and we obtain... [Pg.259]

An alternative approach for computational evolution, termed the Evolutionary Strategy (ES) was developed independently by Rechenberg and co-workers. The ES employs many of the same ideas as the GA, including mutation and selection. However, the ES always uses real-valued encoding. A particular evolution strategy is usually denoted as a i -I- k -ES. The parameter p refers to the constant population size, whereas the parameter X refers to the size of the pool out of which a new population is selected. Obviously, X must be at least as large as p. [Pg.35]

The first (heat evolution) term accounts for chemical heating and the second (heat loss) term accounts for conduction to the surroundings. Their separate temperature dependences are shown in Fig. 7.1, where the effect of temperature on Q,, and y is not considered. Only the rapid increase of rate constant is accounted for. Due to activation effects heat evolution increases exponentially as T increases heat loss is but a linear function of... [Pg.203]

In this minimal END approximation, the electronic basis functions are centered on the average nuclear positions, which are dynamical variables. In the limit of classical nuclei, these are conventional basis functions used in moleculai electronic structure theoiy, and they follow the dynamically changing nuclear positions. As can be seen from the equations of motion discussed above the evolution of the nuclear positions and momenta is governed by Newton-like equations with Hellman-Feynman forces, while the electronic dynamical variables are complex molecular orbital coefficients that follow equations that look like those of the time-dependent Hartree-Fock (TDHF) approximation [24]. The coupling terms in the dynamical metric are the well-known nonadiabatic terms due to the fact that the basis moves with the dynamically changing nuclear positions. [Pg.228]

Final state analysis is where dynamical methods of evolving states meet the concepts of stationary states. By their definition, final states are relatively long lived. Therefore experiment often selects a single stationary state or a statistical mixture of stationary states. Since END evolution includes the possibility of electronic excitations, we analyze reaction products in terms of rovibronic states. [Pg.245]

If the PES are known, the time-dependent Schrbdinger equation, Eq. (1), can in principle be solved directly using what are termed wavepacket dynamics [15-18]. Here, a time-independent basis set expansion is used to represent the wavepacket and the Hamiltonian. The evolution is then carried by the expansion coefficients. While providing a complete description of the system dynamics, these methods are restricted to the study of typically 3-6 degrees of freedom. Even the highly efficient multiconfiguration time-dependent Hartree (MCTDH) method [19,20], which uses a time-dependent basis set expansion, can handle no more than 30 degrees of freedom. [Pg.252]

As shown above in Section UFA, the use of wavepacket dynamics to study non-adiabatic systems is a trivial extension of the methods described for adiabatic systems in Section H E. The equations of motion have the same form, but now there is a wavepacket for each electronic state. The motions of these packets are then coupled by the non-adiabatic terms in the Hamiltonian operator matrix elements. In contrast, the methods in Section II that use trajectories in phase space to represent the time evolution of the nuclear wave function cannot be... [Pg.288]

For m/M small enough, the populations of the eigenstates are nearly constant and the quantal motion is given in terms of the evolution of the eigenstates and eigenenergies Ek along qgo-... [Pg.399]

I lle HIO+force field option in HyperChem hasno hydrogen bond-in g term, Th is is con sisten I with evolution andcommon useofthe CH.ARMM force field (even the 1983 paper did n ot usc a liydrogen boruiin g term in its exam pic calculation s an d men lion ed that the functional form used then was u n satisfactory and under review). [Pg.196]

These elassieal equations ean more eompaetly be expressed in terms of the time evolution of a set of so-ealled mass weighted Cartesian eoordinates defined as ... [Pg.350]

Returning to the kinetie equations that govern the time evolution of the populations of two levels eonneeted by photon absorption and emission, and adding in the term needed for spontaneous emission, one finds (with the initial level being of the lower energy) ... [Pg.391]

DR Processes Under Development. The 1990s have seen continuous evolution of direct reduction technology. Short-term development work is focusing on direct reduction processes that can use lower cost iron oxide fines as a feed material. Use of fines can represent a 20 30/1 (20%) savings in DRI production cost compared to use of pehets or lump ore. Some examples of these processes include FASTMET, Iron Carbide, CIRCOFER, and an improved version of the EIOR process. [Pg.431]

The generalized transport equation, equation 17, can be dissected into terms describing bulk flow (term 2), turbulent diffusion (term 3) and other processes, eg, sources or chemical reactions (term 4), each having an impact on the time evolution of the transported property. In many systems, such as urban smog, the processes have very different time scales and can be viewed as being relatively independent over a short time period, allowing the equation to be "spht" into separate operators. This greatly shortens solution times (74). The solution sequence is... [Pg.384]

The fluidity of coal increases and then decreases at a given temperature. This has been interpreted in terms of reaction sequence of coal — fluid coal — semicoke. In the initial step, a part of the coal is decomposed to add to that which normally becomes fluid. In the second step, the fluid phase decomposes to volatile matter and a soHd semicoke. The semicoke later fuses accompanied by evolution of additional volatile matter to form a high temperature coke. [Pg.225]


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