Periodic dependence of Stark width and shift on nuclear charge number

A periodic dependence of the Stark parameters on the nuclear charge number for neutral and ion resonances has been found and discussed.     

Crystal field analysis of dysprosium ennea-aqua ethysulphate

The inadequacy of the available sets of crystal field parameters in explaining simultaneously the spectroscopic, magnetic and thermal properties of dysprosium ethylsulphate is brought out and a new optimum set is proposed to unify these characteristics.     

Rank procedures for testing subhypotheses in linear regression

Summary In the linear regression modelX _i=α+βc_i+Z_i, we consider the problem of testing the subhypothesis that some (but not all) components of β are equal to 0. A class of asymptotically distribution-free tests based on a quadratic form in aligned rank statistic is studied and the asymptotic relative efficiencies of the proposed tests with respect to the general likelihood ratio test and the test based on least-squares estimates of regression parameters are derived. Asymptotic optimality (à la Wald) is also discussed. Work done under the National Science Foundation Grant MCS 8301409 and NATO Grant 1465.     

Numerical modelling of subcritical open channel flow using the K-ε turbulence model and the penalty function finite element technique

A numerical model has been developed that employs the penalty function finite element technique to solve the vertically averaged hydrodynamic and turbulence model equations for a water body using isoparametric elements. The full elliptic forms of the equations are solved, thereby allowing recirculating flows to be calculated. Alternative momentum dispersion and turbulence closure models are proposed and evaluated by comparing model predictions with experimental data for strongly curved subcritical open channel flow. The results of these simulations indicate that the depth-averaged two-equation k-ε turbulence model yields excellent agreement with experimental observations. In addition, it appears that neither the streamline curvature modification of the depth-averaged k-ε model, nor the momentum dispersion models based on the assumption of helicoidal flow in a curved channel, yield significant improvement in the present model predictions. Overall model predictions are found to be as good as those of a more complex and restricted three-dimensional model.     

Mass-transport models with multiple-chipping processes

We study mass-transport models with multiple-chipping processes. The rates of these processes are dependent on the chip size and mass of the fragmenting site. In this context, we consider k-chip moves (where k = 1, 2, 3, ...); and combinations of 1-chip, 2-chip and 3-chip moves. The corresponding mean-field (MF) equations are solved to obtain the steady-state probability distributions, P(m) vs. m. We also undertake Monte Carlo (MC) simulations of these models. The MC results are in excellent agreement with the corresponding MF results, demonstrating that MF theory is exact for these models.     

Phase Separation in Confined Geometries

The kinetics of phase separation or domain growth, subsequent to temperature quenches of binary mixtures from the one-phase region into the miscibility gap, still remains a challenging problem of nonequilibrium statistical mechanics. We have an incomplete understanding of many aspects of the growth of concentration inhomogeneities, including the effect of surfaces on this process, and the interplay with wetting phenomena and finite-size effects in thin films. In the present paper, an overview of the simulation approaches to this problem is given, with an emphasis on solutions of a diffusive Ginzburg-Landau model. We also discuss two recent alternative approaches: a local molecular field approximation to the Kawasaki spin exchange model on a lattice; and molecular dynamics simulations of a fluid binary Lennard-Jones mixture. A brief outlook to open questions is also given.