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Parametrization molecular dynamics

The friction term has been evaluated for CO/Cu(l 00) by Hartree-Fock cluster calculations using single excitations [110]. A parametrized form of the Hartree-Fock results has been used for the molecular dynamics simulations. The interaction potential of CO/Cu(l 00) in the nuclear degrees of freedom, however, was derived empirically. [Pg.21]

Use parametrized interatomic potentials to sample the geometry, using classical Molecular Dynamics (MD) or Monte Carlo/Generalized Simulated Annealing (MC/GSA). [Pg.75]

Molnar, S.P. and King, J.W. (1998) Parametric transform and moment indices in die molecular dynamics of n-alkanes. Int. J. Quant. Chem., 70. 1185-1194. [Pg.1124]

The descriptions of molecular dynamics and the theory of chemical reactions in gas and condensed phases are based on the concept of potential energy function (hypersurface) [1,2] rooted in the Bom-Oppenheimer (BO) approach [3]. The parametric dependance of the electronic wave function with respect to nuclear coordinates is the basic idea on which the BO framework rest. In this paper, a different approach is taken. The electronic state functions are taken to be independent from the instantaneous nuclear positions. As a first step, we consider molecular systems which are characterized by stationary nuclear configurations belonging to particular symmetry groups. The corresponding electronic stationary states must always transform according to given irreduci-... [Pg.195]

Nakamura and Truhlar [26] have developed direct calculation techniques to obtain quasi-diabatic states. Yet, a main issue remains there is no clear quantum-mechanical interpretation as to the meaning of an electronic wave ftinction that depends parametrically on the positive charge positions [4]. The multi-electronic-state molecular dynamics approach by Martinez et al. [27] highlights the problems raised by the use of the BO scheme. The crossing points and the uncontrolled coupling of electronic states... [Pg.288]

The other approach, called molecular dynamics [249], is essentially based on Newton s mechanics utilized to describe the nuclear motions. Thus, quantum mechanics is discarded (at least for the moment), and classical mechanics is bravely applied to a system of atoms, ions, or molecules pretending these are not quantum objects. For molecules, such classical parametrizations go by the name force field methods, and they make up an important class of computational chemistry [58]. Given the knowledge of an atom s mass m and the force F(f) acting on it at some time t, the atom s acceleration a(t) is calculated according to F(f) = ma i) the force itself is the derivative of the potential energy V(r(f)) such that we have... [Pg.152]

The two-dimensional square lattice protein folding model discussed earlier provides a simple basis for probing this issue. The model has the advantage of allowing one to carry out many exact calculations to check the predictions from first-order sensitivity theory. Unlike molecular dynamics or Monte Carlo simulations, there are no statistical errors or convergence problems associated with the calculations of the properties, and their parametric derivatives, of a model polypeptide on a two-dimensional square lattice. [Pg.307]

Several groups have also made relevant contribution to the evolution of the original PCM. A related model based on conductor-like screening (COSMO) has been developed recently by Klamt and Schuiirmann [13]. Likewise, another approach to the PCM has been proposed in which the cavity surface is determined in terms of an electronic isodensity surface [14]. Olivares del Valle and coworkers [15] have focused their attention on aspects such as the inclusion of correlation effects in the PCM, or on the role of nonadditive effects in solute-solvent interactions. Pascual-Ahuir et al. [16] have paid most attention to the problem of the definition of the cavity surface. The work done in Barcelona has focussed mainly on the parametrization of the PCM to treating aqueous and nonaqueous solvents, as well as the application of the PCM to the study of biochemical systems [17, 18]. Finally, we and others have made new methodological developments to allow the implementation of the PCM in molecular dynamics or in Monte Carlo calculations [19]. [Pg.187]


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