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Statistic atomic potential

It is not absolutely necessary to have accurate interatomic potentials to perform reasonably good calculations because the many collisions involved tend to obscure the details of the interaction. This, together with the fact that accurate potentials are only known for a few systems makes the Thomas-Fermi approach quite attractive. The Thomas-Fermi statistical model assumes that the atomic potential V(r) varies slowly enough within an electron wavelength so that many electrons can be localized within a volume over which the potential changes by a fraction of itself. The electrons can then be treated by statistical mechanics and obey Fermi-Dirac statistics. In this approximation, the potential in the atom is given by ... [Pg.84]

The use of statistical calculations of configuration integrals to determine thermodynamic adsorption characteristics of zeolites dates back to the late 1970s (49). Kiselev and Du (22) reported calculations based on atom-atom potentials for Ar, Kr, and Xe sorbed in NaX, NaY, and KX zeolites. Then-calculations, which included an electrostatic contribution, predicted changes in internal energy in excellent agreement with those determined experimentally. The largest deviation between calculated and experimental values, for any of the sorbates in any of the hosts, was a little over 1 kJ/mol. [Pg.53]

Turning to electric fields and classical Maxwell-Boltzmann statistics, soluble analytical models now exist which allow calculations of non-degenerate electron densities as a function of thermodynamic state in intense electric fields (low density high temperature). Semiclassical methods are available for switching on atomic potentials to models studied presently, though numerical results are not yet available here. [Pg.89]

Zucker, U. H., and Schulz, H. Statistical approaches for the treatment of anharmonic motion in crystals, II. Anharmonic thermal vibrations and effective atomic potentials in the fast ionic conductor lithium nitride (LiaN)., 4cla Cryst. A38, 568-576 (1982). [Pg.567]

The potential functions used to evaluate or score a sequence in a structure are usually empirical potentials of mean force estimated from statistical analysis of the distribution of residue-residue distances in the PDB. The potentials are less detailed than full atomic potentials, often treating each residue as a single interaction site. Solvation is the key aspect that these potentials try to capture. Many different potentials have been developed, and new variants continue to be tested. - Most potentials appear to be comparable. [Pg.135]

Let us briefly explain the reliability of such an approach. As the calculations demonstrated the values ofPg-parameters equal numerically (in the range of 2%) the total energy of valence electrons (t/) by the atom statistic model. Using the known correlation between the electron density ( 3) and intra-atomic potential by the atom statistic model [12], we can obtain the direct dependence of P -parameter on the electron density at the distance r. from the nucleus. [Pg.137]

The atomic potentials for the heavy atoms were calculated by Liberman and coworkers using the Dirac Hamiltonian and statistical exchange potential somewhat smaller than that suggested by Slater. (D. Liberman, J. T. Waber, and D. T. Cromer, Phys, Rev, 1965, 137, A27 R. D. Cowan, A. C. Larson, D. Liberman,. B. Mann, and J. Waber, ibid., 1966, 144, 5). [Pg.24]

Statistical mechanical theory and computer simulations provide a link between the equation of state and the interatomic potential energy functions. A fluid-solid transition at high density has been inferred from computer simulations of hard spheres. A vapour-liquid phase transition also appears when an attractive component is present hr the interatomic potential (e.g. atoms interacting tlirough a Leimard-Jones potential) provided the temperature lies below T, the critical temperature for this transition. This is illustrated in figure A2.3.2 where the critical point is a point of inflexion of tire critical isothemr in the P - Vplane. [Pg.442]

Colloidal particles can be seen as large, model atoms . In what follows we assume that particles with a typical radius <3 = lOO nm are studied, about lO times as large as atoms. Usually, the solvent is considered to be a homogeneous medium, characterized by bulk properties such as the density p and dielectric constant t. A full statistical mechanical description of the system would involve all colloid and solvent degrees of freedom, which tend to be intractable. Instead, the potential of mean force, V, is used, in which the interactions between colloidal particles are averaged over... [Pg.2667]

The molecules in cmde oil include several basic stmctural types (Table 1, Fig. 1). Because they may contain from 1 to 100+ carbon atoms and may occur in combination, the statistical potential for isomeric stmctures is staggering. For example, whereas there are just 75 possible paraffinic stmctures for C q, there are >10 isomers for C2Q. A few stmctures tend to dominate the distributions of each isomer group, however. [Pg.166]

Whereas the quasi-chemical theory has been eminently successful in describing the broad outlines, and even some of the details, of the order-disorder phenomenon in metallic solid solutions, several of its assumptions have been shown to be invalid. The manner of its failure, as well as the failure of the average-potential model to describe metallic solutions, indicates that metal atom interactions change radically in going from the pure state to the solution state. It is clear that little further progress may be expected in the formulation of statistical models for metallic solutions until the electronic interactions between solute and solvent species are better understood. In the area of solvent-solute interactions, the elastic model is unfruitful. Better understanding also is needed of the vibrational characteristics of metallic solutions, with respect to the changes in harmonic force constants and those in the anharmonicity of the vibrations. [Pg.143]

The hrst step in theoretical predictions of pathway branching are electronic structure ab initio) calculations to define at least the lowest Born-Oppenheimer electronic potential energy surface for a system. For a system of N atoms, the PES has (iN — 6) dimensions, and is denoted V Ri,R2, - , RiN-6)- At a minimum, the energy, geometry, and vibrational frequencies of stationary points (i.e., asymptotes, wells, and saddle points where dV/dRi = 0) of the potential surface must be calculated. For the statistical methods described in Section IV.B, information on other areas of the potential are generally not needed. However, it must be stressed that failure to locate relevant stationary points may lead to omission of valid pathways. For this reason, as wide a search as practicable must be made through configuration space to ensure that the PES is sufficiently complete. Furthermore, a search only of stationary points will not treat pathways that avoid transition states. [Pg.225]

For both statistical and dynamical pathway branching, trajectory calculations are an indispensable tool, providing qualitative insight into the mechanisms and quantitative predictions of the branching ratios. For systems beyond four or five atoms, direct dynamics calculations will continue to play the leading theoretical role. In any case, predictions of reaction mechanisms based on examinations of the potential energy surface and/or statistical calculations based on stationary point properties should be viewed with caution. [Pg.261]


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See also in sourсe #XX -- [ Pg.55 ]




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