Parametric potential calculations

Z.B. Goldschmidt and Cohen (1975). Values written between round or square brackets were obtained in the parametric potential calculation. 

Three strong lines of Ru XXXIII and Rh XXXIV have been identified in laser produced plasmas [11]. The intercombination line 3s Sq-3s3p P has not been observed but systematic comparisons between experiment and MCDF calculations lead to accurate wavelength predictions [12]. The energy levels of all (n = 3) configurations are calculated by relativistic model potential methods [13] and by the relativistic parametric potential method [14], but... 

The first point to remark is that methods that are to be incorporated in MD, and thus require frequent updates, must be both accurate and efficient. It is likely that only semi-empirical and density functional (DFT) methods are suitable for embedding. Semi-empirical methods include MO (molecular orbital) [90] and valence-bond methods [89], both being dependent on suitable parametrizations that can be validated by high-level ab initio QM. The quality of DFT has improved recently by refinements of the exchange density functional to such an extent that its accuracy rivals that of the best ab initio calculations [91]. DFT is quite suitable for embedding into a classical environment [92]. Therefore DFT is expected to have the best potential for future incorporation in embedded QM/MD. 

Calculations were done with a full-potential version of the LMTO method with nonoverlapping spheres. The contributions from the interstitial region were accounted for by expanding the products of Hankel functions in a series of atom-ce- -ered Hankels of three different kinetic energies. The corrected tetrahedron method was used for Brillouin zone integration. Electronic exchange and correlation contributions to the total energy were obtained from the local-density functional calculated by Ceperley and Alder " and parametrized by Vosko, Wilk, and Nusair. ... 

Table 2 Elastic constants and bulk moduli for 4d cubic elements. Comparison is made between the results of our tight-binding parametrization (TB), first-principles full potential LAP., results (LAPW), where available, and experiment (Exp.). Calculations were performed at the experimental volume.

At the end of the chapter, techniques for alchemical transformations were presented. We showed that, in order to avoid rapid changes in free energy and improve the efficiency of the calculation, the parametrization of the Hamiltonian is critical and soft-core potentials should be used [see (4.50)]. A popular approach is the technique of A dynamics which leads to an improved sampling. In this approach A is a variable in the Hamiltonian system [see (4.51)]. Umbrella sampling, metadynamics or ABF can be used to reduce the cost of A dynamics simulations. 

A third mode of qualitative measurement is a non-parametric one [2]. This concept is based on the direct exploitation of an analytical signal (absorbance, intensity, potential,...) without parameter calculation, leading to the simple characterization of the studied sample (Fig. 2). For example, fingerprinting or image analysis can be considered as non-parametric measurement. 

For simplicity, we will consider the case in which surface charge and potential are positive, and that only anions adsorb. Furthermore, the potential drop in the Gouy-Chapman layer will be assumed to be small enough that its charge/potential relation can be linearized. The V o/oo/pH relationship can then be derived parametrically, with the charge in the Gouy-Chapman layer cr4 as the parameter. The potential at the plane of anion adsorption can then be calculated and substituted in Equation 28 to give ... 

The various terms in this formula have the meaning of the potential function (force field) V(r1,r2,0) the vibrational, 7 rotational, fx, Ty, Tz and rotational-vibrational, Tvr kinetic energy terms. The latter are differential operators acting in the space of wave functions )/(/ ,r2,0 a,P,y). The potential function V(rur2,Q) is either calculated ab initio or parametrized in a suitable fashion. A commonly used parametrization is that provided by the force-field method... 

Atomistic computer simulations are a statistical mechanical tool to sample configurations from the phase space of the physical system of interest. The system is uniquely treated by specifying the interactions between the particles (which are usually described as being pointlike), the masses of all the particles, and the boundary conditions. The interactions are calculated either on-the-fly by an electronic structure calculation (see Section 2.2.3) or from potential functions, which have been parametrized before the simulation by fitting to the results of electronic structure calculations or a set of experimental data. In the first case, one frequently speaks of AIMD (see Section 2.2.3), although the motion of the nuclei is still treated classically. 

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