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Second Order Implementation

Considering a particle with mass M moving between the space-points and Xj imder the potential v x) with Eq. (1.17) the associate quantum statistical propagator may be expanded upto the second order in Eq. (1.10), as abstracted for instance from Eq. (1.62) (Putz Ori, 2012), [Pg.42]

So corresponding to the first terms ofEq. (1.71)too. By further specialization for the bondonic evolution and mass (1.1) the working form casts as (Putz Ori, 2012) [Pg.43]

The coimection with topological properties of the periodic nets is achieved through considering the correspondence of the driving potential with a proper topological descriptor for the periodic cell t(x) S as considered in Eq. (1.76) to superior orders [Pg.43]

Analytically, for a net with A-periodic cells, one gets firstly the bondonic energy per cell, under grand canonical conditions, as (Putz Ori, 2012)  [Pg.43]


In the second-order methods we have described, the choice of coordinate system was not made explicit. Prom a quantum-chemical perspective, analytical derivatives are most conveniently computed in Cartesian (or symmetry-adapted Cartesian) coordinates. Indeed, second-order methods are not particularly sensitive to the choice of coordinate system and second-order implementations based on Cartesian coordinates usually perform quite well. As we discussed above, however, if the Hessian is to be estimated empirically, a representation in which the Hessian is diagonal, or close to diagonal, is highly desirable. This is certainly not true for Cartesian coordinates some set of internal coordinates that better resemble normal coordinates would be required. Two related choices are popular. The first choice is the internal coordinates suggested by Wilson, Decius and Cross [25], which comprise bond stretches, bond angle bends, motion of a bond relative to a plane defined by several atoms, and torsional (dihedral) motion of two planes, each defined by a triplet of atoms. Commonly, the molecular geometry is specified in Cartesian coordinates, and a linear transformation between Cartesian displacement coordinates and internal displacement coordinates is either supplied by the user or generated automatically. Less often, the (curvilinear) transformation from Cartesian coordinates to internals may be computed. The second choice is Z-matrix coordinates, popularized by a number of semiempirical... [Pg.125]

Obviously, the implementation of the second-order equations is a completely numerical procedure [55-58]. It is a comphcated numerical task even for simple fluids. However, the accuracy of the results depends on the closures applied. [Pg.175]

These functions are easily implemented on a computer, and even on many calculators. The procedure can be extended to cover other equations that are linear in the parameters. One can readily show, for example, that the least-squares rate constant for second-order kinetics from Eq. (2-13) is... [Pg.38]

A computer program for the theoretical determination of electric polarizabilities and hyperpolarizabilitieshas been implemented at the ab initio level using a computational scheme based on CHF perturbation theory [7-11]. Zero-order SCF, and first-and second-order CHF equations are solved to obtain the corresponding perturbed wavefunctions and density matrices, exploiting the entire molecular symmetry to reduce the number of matrix element which are to be stored in, and processed by, computer. Then a /j, and iap-iS tensors are evaluated. This method has been applied to evaluate the second hyperpolarizability of benzene using extended basis sets of Gaussian functions, see Sec. VI. [Pg.281]

We have not encountered examples with a second order equation, especially one that exhibits oscillatory behavior. One reason is that processing equipment tends to be self-regulating. An oscillatory behavior is most often a result of implementing a controller, and we shall see that in the control chapters. For now, this section provides several important definitions. [Pg.49]

We ll finish with implementing the P, PI and PD controllers on a second order overdamped process. As in the exercise above, try to calculate the derivative or integral time constants, and take a minute to observe the plots and see what may lead to better controller designs. [Pg.249]

As electric fields and potential of molecules can be generated upon distributed p, the second order energies schemes of the SIBFA approach can be directly fueled by the density fitted coefficients. To conclude, an important asset of the GEM approach is the possibility of generating a general framework to perform Periodic Boundary Conditions (PBC) simulations. Indeed, such process can be used for second generation APMM such as SIBFA since PBC methodology has been shown to be a key issue in polarizable molecular dynamics with the efficient PBC implementation [60] of the multipole based AMOEBA force field [61]. [Pg.162]

This expression involves first- and second-order derivatives of with respect to x. While this equation has been successfully used for many computations, a more convenient expression can be derived which involves derivatives with respect to time, which are easier to calculate using molecular dynamics. No second derivatives are required, which significantly simplifies the implementation. This equation is... [Pg.139]

The simultaneous determination of trimeprazine and methotrimeprazine in mixtures using the classical peroxyoxalate system based on the reaction between TCPO and hydrogen peroxide was used to validate the new methodology. The reaction was implemented by using the CAR technique, which increased nonlinearity in the chemical system studied by virtue of its second-order kinetic nature. In addition, both drugs exhibited a similar kinetic behavior and synergistic effects on each other, as can be inferred from the individual and combined (real and theoretical) CL-versus-time response curves. [Pg.205]

The various response tensors are identified as terms in these series and are calculated using numerical derivatives of the energy. This method is easily implemented at any level of theory. Analytic derivative methods have been implemented using self-consistent-field (SCF) methods for a, ft and y, using multiconfiguration SCF (MCSCF) methods for ft and using second-order perturbation theory (MP2) for y". The response properties can also be determined in terms of sum-over-states formulation, which is derived from a perturbation theory treatment of the field operator — [iE, which in the static limit is equivalent to the results obtained by SCF finite field or analytic derivative methods. [Pg.16]

Second-order correction can be implemented in a similar way. Let us illustrate a simple method for the exponential law. Retaining the second-order term of Equations (17) and (19), we obtain ... [Pg.127]


See other pages where Second Order Implementation is mentioned: [Pg.313]    [Pg.593]    [Pg.1]    [Pg.42]    [Pg.24]    [Pg.313]    [Pg.593]    [Pg.1]    [Pg.42]    [Pg.24]    [Pg.391]    [Pg.261]    [Pg.261]    [Pg.71]    [Pg.39]    [Pg.70]    [Pg.164]    [Pg.170]    [Pg.582]    [Pg.86]    [Pg.132]    [Pg.207]    [Pg.14]    [Pg.265]    [Pg.291]    [Pg.433]    [Pg.192]    [Pg.156]    [Pg.126]    [Pg.305]    [Pg.373]    [Pg.254]    [Pg.258]    [Pg.52]    [Pg.248]    [Pg.284]    [Pg.12]    [Pg.187]    [Pg.370]    [Pg.175]    [Pg.115]    [Pg.143]    [Pg.181]    [Pg.145]    [Pg.149]   


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