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Level dynamics

Dual-level dynamics refers to dynamics calculations that use two levels of electronic structure theory or two PEFs of different quality. In the VTST/MT context, such methods use a low-level method to calculate the MEP and gather some information along it followed by using a smaller [Pg.199]

VdL = LL + Vspline(AV,z) where VspHne(AV,z) is a spline-under-tension fit. [Pg.200]

The interpolated optimized corrections (IOC) method uses HE energies, gradients, and Hessians at the high-level stationary points to improve the quality of a Vmep and of frequency and moment of inertia profiles originally calculated at EE. [Pg.200]

We have proposed two dual-level schemes for The dual- [Pg.200]

The sign of Sl is positive if is positive and negative if A is negative. The single-Eckart (SE) scheme for correcting Vmep [Pg.201]

Another useful tool for studying the quantum mechanics of classically chaotic systems is level dynamics. In this approach, the real energy eigenvalues En of a Hermitian Hamiltonian [Pg.98]

In order to derive the dynamical equations of motion of level dynamics we start with the eigenvalue equation [Pg.98]

In the following we also assume that H is time reversal invariant. Therefore, states and matrix elements can be assumed to be real (Messiah (1979)). Differentiating the orthogonality relation in (4.1.50) with respect to e we obtain [Pg.99]

We introduced a dot notation to indicate differentiation with respect to e. A simple corollary of (4.1.51) is the observation that the variation of a given state n) with e is orthogonal to the state itself  [Pg.99]

This set of equations is known as the Heilman-Feynman theorem (see, e.g., Hirschfelder et al. (1954)). It is a set of simple first order differential equations for the energy levels En- But (4.1.53) is not a closed system of differential equations since we do not know the behaviour of the perturbation matrix elements as a function of e. In an attempt to close the system (4.1.53) we compute [Pg.99]


When the grey level dynamic range in the image processed is small, usually because of a poor illumination or a non uniform lighting, it s possible to increase this dynamic range by a histogram transformation. This transformation affect the intensity distributions and increase the contrast. [Pg.526]

Vants represent the one of the simplest - and therefore, most persuasive - examples of emergence of high-level structures from low-level dynamics. Discovered by Langton [lang86], vants live on a two-dimensional Euclidean lattice and come in two flavors, red and bine. Each vant c an move in any of four directions (E,W,N,S). Each lattice site is either empty or contains one of two types of food, green food or yellow food. Vants arc fundamentally solitary creatures so that there is a strict conservation of the number of vants. [Pg.580]

The rate of chemical reactions can be described at two levels dynamics and kinetics. Dynamics is the description of the rate of transformation for individual molecules. The molecule has a well-defined energy, it may even start in a well-defined quantum state. There is no temperature. Temperature is a property of a large number of molecules, not individual molecules. [Pg.16]

From a practical perspective, this is the model that should be used to design a (multivariable) controller that manipulates the inputs us to fulfill the control objectives ys. It is important to note that the availability of a low-order ODE model of the process-level dynamics affords significant flexibility in designing the supervisory control system, since any of the available inversion- or optimization-based (e.g., Kravaris and Kantor 1990, Mayne et al. 2000, Zavala... [Pg.43]

Notice that the above model is still stiff, due to the presence of the parameter 2. Considering the limit 2 —> 0, corresponding to the absence of the inert component from the feed and a zero purge flow rate, we obtain the following description of the intermediate (process-level) dynamics ... [Pg.121]

Figure 5.8 Three distinct time horizons in the dynamic response of the reactor-condenser process core. Top fast, unit-level dynamics. Middle the total holdup of component A has an intermediate response time. Bottom the total holdup of impurity evolves in the slowest time scale. The plots depict simulation results with initial conditions slightly perturbed from their steady-state values. Figure 5.8 Three distinct time horizons in the dynamic response of the reactor-condenser process core. Top fast, unit-level dynamics. Middle the total holdup of component A has an intermediate response time. Bottom the total holdup of impurity evolves in the slowest time scale. The plots depict simulation results with initial conditions slightly perturbed from their steady-state values.
For single separation duty, Mujtaba and Macchietto (1993) proposed a method, based on extensions of the techniques of Mujtaba (1989) and Mujtaba and Macchietto (1988, 1989, 1991, 1992), to determine the optimal multiperiod operation policies for binary and general multicomponent batch distillation of a given feed mixture, with several main-cuts and off-cuts. A two level dynamic optimisation formulation was presented so as to maximise a general profit function for the multiperiod operation, subject to general constraints. The solution of this problem determines the optimal amount of each main and off cut, the optimal duration of each distillation task and the optimal reflux ratio profiles during each production period. The outer level optimisation maximises the profit function by... [Pg.154]

Mayur et al. (1970) formulated a two level dynamic optimisation problem to obtain optimal amount and composition of the off-cut recycle for the quasi-steady state operation which would minimise the overall distillation time for the whole cycle. For a particular choice of the amount of off-cut and its composition (Rl, xRI) (Figure 8.1) they obtained a solution for the two distillation tasks which minimises the distillation time of the individual tasks by selecting an optimal reflux policy. The optimum reflux ratio policy is described by a function rft) during Task 1 when a mixed charge (BC, xBC) is separated into a distillate (Dl, x DI) and a residue (Bl, xBi), followed by a function r2(t) during Task 2, when the residue is separated into an off-cut (Rl, xR2) and a bottom product (B2, x B2)- Both r2(t)and r2(t) are chosen to minimise the time for the respective task. However, these conditions are not sufficient to completely define the operation, because Rl and xRI can take many feasible values. Therefore the authors used a sequential simplex method to obtain the optimal values of Rl and xR which minimise the overall distillation time. The authors showed for one example that the inclusion of a recycled off-cut reduced the batch time by 5% compared to the minimum time for a distillation without recycled off-cut. [Pg.232]

It is quite obvious that a two level optimisation formulation can be very expensive in terms of computation time. This is due to the fact that for any particular choice of R1 and xRi a complete solution (sub-optimal) of the two distillation tasks are required. The same is true for each gradient evaluation with respect to the decision variables (B7and xRj). Mujtaba (1989) proposed a faster one level dynamic optimisation formulation for the recycle problem which eliminates the requirement to calculate any sub-optimal or intermediate solution. In this formulation the total distillation time is minimised directly satisfying the separation requirements for the first distillation task as interior point constraints and for the second distillation task as final time constraints. It was found that the proposed formulation was much more robust and at least 5 times faster than the classical two level formulation. [Pg.242]

Orrillo AG, Escalante AM, Furlan RLE (2008) Covalent double level dynamic combinatorial libraries selectively addressable exchange processes. Chem Commun 2008 5298-5300... [Pg.138]

DUferential equations for the off-diagonal matrix elements can be derived along similar lines. Together with (4.1.53) and (4.1.56) we obtain the following set of coupled equations as the final result for the equations of motion of level dynamics... [Pg.100]

The methods of level dynamics can be extended to resonance dynamics in case the energy levels En acquire a width in the presence of a continuum. Resonance dynamics of the one-dimensional helium atom is discussed in Section 10.5.2. [Pg.101]

Itai, Y., Araki, T., Ohtomo, K., Kokubo, T., YosUda, H., Minaml, M., Yashiro, N. Well-defined dense and continuously spreading enhancement on single level dynamic CT of the liver a characteristic sign of... [Pg.187]


See other pages where Level dynamics is mentioned: [Pg.388]    [Pg.11]    [Pg.88]    [Pg.704]    [Pg.535]    [Pg.381]    [Pg.121]    [Pg.373]    [Pg.178]    [Pg.450]    [Pg.128]    [Pg.225]    [Pg.715]    [Pg.106]    [Pg.122]    [Pg.243]    [Pg.31]    [Pg.84]    [Pg.98]    [Pg.98]    [Pg.279]    [Pg.1004]    [Pg.202]    [Pg.5]    [Pg.651]    [Pg.388]    [Pg.513]    [Pg.515]    [Pg.515]    [Pg.524]    [Pg.266]   
See also in sourсe #XX -- [ Pg.84 , Pg.86 , Pg.98 , Pg.100 , Pg.101 , Pg.279 ]

See also in sourсe #XX -- [ Pg.79 , Pg.89 ]




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Conformations atomic-level molecular dynamics

Direct dynamics dual-level - -

Dual-level dynamics

Dynamics of Disordered Solids, Two-Level Systems

Dynamics of a Single Two-Level System

Fast dynamics at the unit level

Heat bath dynamics dissipative two-level system

Molecular-level modeling dynamics

Non-Equilibrium Dynamic Level

Nuclear dynamics levels

Possible dynamics of Aral Sea levels

Process-level dynamics

Protein dynamics at the local level

Slow dynamics of the impurity levels

Spectral Dynamics of a Chromophore Coupled to one or many Two-Level Systems

Stochastic Dynamics on the Level of Pure States

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