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Method integral

For further treatment of Equation A10.7, two possible methods exist, namely, the differential and integral methods, which will be discussed in detail below. [Pg.590]

The integral method is based on the integration of the mass balance. For instance. Equation A10.7, valid for first-order kinetics, is integrated after a separation of variables [Pg.590]

FIGURE A10.3 Determination of the rate constant by the integral method first-order kinetics r = kc.  [Pg.591]

This procedure can be generalized to cover arbitrary kinetics. The expression of ta depends on the concentrations (ca, cb etc.) only. The reaction stoichiometry gives the concentrations of the other components. In the case of a single reaction, we can use the extent of reaction [Pg.591]

FIGURE A10.4 Estimation of the rate constant according to Equation A10.14 (integral method). [Pg.592]

This procedure is repeated assuming a different reaction order (e.g., n = 2). The order of the reaction would thus be determined by comparing the coefficients of determination for the different fits of the kinetic models to the transformed data. The model that fits the data best defines the order of that reaction. The rate constant for the reaction, and its corresponding standard error, is then determined using the appropriate model. If coefficients of determination are similar, further experimentation may [Pg.13]

To use integrated rate equations, knowledge of reactant or product concentrations is not an absolute requirement. Any parameter proportional to reactant or product concentration can be used in the integrated rate equations (e.g., absorbance or transmittance, turbidity, conductivity, pressure, volume, among many others). However, certain modifications may have to be introduced into the rate equations, since reactant concentration, or related parameters, may not decrease to zero—a miiumum, nonzero value (Amin) might be reached. For product concentration and related parameters, a maximum value (Pmax) may be reached, which does not correspond to 100% conversion of reactant to product. A certain amount of product may even be present at t = 0 (Pq). The modifications introduced into the rate equations are straightforward. For reactant (A) concentration. [Pg.14]

These modified rate equations are discussed extensively in Chapter 12, and the reader is directed there if a more-in-depth discussion of this topic is required at this stage. [Pg.14]

Chice a and P are determined, can be calculated from the measurement of —r at known concentrations of A and B  [Pg.249]

The integral method uses a (rial and-etror procedure lo find the reaction order. [Pg.249]

Both a and can be determined by u.sing the method of excess, coupled with a differential analysts of data for batch systems. [Pg.249]

This method is the quickest method to use to determine the rate law if (he order turns out to zero, first, or second order. In the integral method, we guess the reaction order, a, in the combined batch reactor mole balance and rate law equation [Pg.249]

It is imponarn to know how to generate linear plots of functions of C versus ( for zero-, first-, and second-order reactions. [Pg.249]


When quantum effects are large, the PF can be evaluated by path integral methods [H], Our exposition follows a review article by Gillan [12], Starting with the canonical PF for a system of particles... [Pg.454]

Berne B J and Thirumalai D 1986 On the simulation of quantum systems path integral methods Ann. Rev. Rhys. Chem. 37 401... [Pg.557]

Numerical integration methods are widely used to solve these integrals. The Gauss-Miihler method [28] is employed in all of the calculations used here. This method is a Gaussian quadrature [29] which gives exact answers for Coulomb scattering. [Pg.1810]

Assuming that the diabatic space can be truncated to the same size as the adiabatic space, Eqs. (64) and (65) clearly define the relationship between the two representations, and methods have been developed to obtain the tians-formation matrices directly. These include the line integral method of Baer [53,54] and the block diagonalization method of Pacher et al. [179]. Failure of the truncation assumption, however, leads to possibly important nonremovable derivative couplings remaining in the diabatic basis [55,182]. [Pg.280]

Hi) The use of quantum methods to obtain correct statistical static (but not dynamic) averages for heavy quantum particles. In this category path-integral methods were developed on the basis of Feynman s path... [Pg.4]

B.J. Leimkuhler, S. Reich, and R. D. Skeel. Integration methods for molecular dynamics. In Mathematical approaches to biomolecular structure and dynamics, Seiten 161-185, New York, 1996. Springer. [Pg.94]

In this paper, we discuss semi-implicit/implicit integration methods for highly oscillatory Hamiltonian systems. Such systems arise, for example, in molecular dynamics [1] and in the finite dimensional truncation of Hamiltonian partial differential equations. Classical discretization methods, such as the Verlet method [19], require step-sizes k smaller than the period e of the fast oscillations. Then these methods find pointwise accurate approximate solutions. But the time-step restriction implies an enormous computational burden. Furthermore, in many cases the high-frequency responses are of little or no interest. Consequently, various researchers have considered the use of scini-implicit/implicit methods, e.g. [6, 11, 9, 16, 18, 12, 13, 8, 17, 3]. [Pg.281]

Symplectic integration methods replace the t-flow (pt,H by the symplectic transformation which retains Hamiltonian features of They poses a backward error interpretation property which means that the computed solutions are solving exactly or, at worst, approximately a nearby Hamiltonian problem which means that the points computed by means of symplectic integration, lay either exactly or at worst, approximately on the true trajectories [5]. [Pg.335]

The LFV integration method propagates coordinates and momenta on the basis of the equation of motion (5) by the following relations... [Pg.336]

Note that there are also variations in total energy which might be due to the so called step size resonance [26, 27]. Shown are also results for fourth order algorithm which gives qualitatively the same results as the second order SISM. This show that the step size resonances are not due to the low order integration method but rather to the symplectic methods [28]. [Pg.345]

Leimkuhler, B. J., Reich, S., Skeel, R. D. Integration Methods for Molecular Dynamics. In IMA Volumes in Mathematics and its Applications. Eds. Mesirov, J., Schulten, K., Springer-Verlag, Berlin 82 (1995)... [Pg.348]

These experiments confirm observations in the recent articles [20] and [11] symplectic methods easily outperform more traditional quaternionic integration methods in long term rigid body simulations. [Pg.361]

Note that the same results have not been shown for symmetric (time-reversible) integration methods, although symmetric methods seem to perform quite well in practice. For a discussion of symmetric methods in the context of the QCMD model see [16, 17, 13]. [Pg.412]

D. Okunbor, Integration methods for A -body problems , Proc. of the second International Conference On Dynamic Systems, 1996. [Pg.493]

To calculate the partition function for a system of N atoms using this simple Monte Car integration method would involve the following steps ... [Pg.429]

The overall free energy can be partitioned into individual contributions if the thermo-lynamic integration method is used [Boresch et al. 1994 Boresch and Karplus 1995]. The itarting point is the thermodynamic integration formula for the free energy ... [Pg.590]

For an introduction to excited states via path integral methods see... [Pg.222]


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