A kinetic model for step flow growth in molecular beam epitaxy

A terrace-step-kink model for epitaxial step flow growth of steps with no bonds along them is derived from kinetic arguments. The model is combined with an existing model for the steps that have strong bonding along them to describe steps of arbitrary orientation in terms of densities of adatoms, step adatoms and kinks. A planar steady-state solution for a simplified version of the model is constructed and analyzed. Different mass transport mechanisms are modeled that result in different far-from-equilibrium behavior, confirming that edge diffusion is the main factor stabilizing the steps during growth. Furthermore kinetic Wulff shapes are constructed from the calculated step velocities.     

Micro/macro modeling of CVD synthesis

We propose a CVD reaction scheme in which a source material undergoes a gas-phase reaction to produce an intermediate, and then the intermediate diffuses to the solid surface and changes into a solid film through a surface reaction. A series of simple Monte Carlo (SMC) codes has been developed to simulate the observed film shape on micro-trenches and holes. By using these codes, surface reaction rate constants were determined so as to reproduce the experimentally observed film shape. By means of a macro-scale reactive transport analysis of a hot wall tubular reactor, gas-phase reaction rate constants for single component systems were determined to simulate the experimental growth rate distributions. The composition and growth rate of Yttria stabilized Zirconia (YSZ) film, a solid solution of Yttria and Zirconia, were qualitatively explained by a sum of single component's growth rates. As an application of these reaction models, we simulated a rotating-disk CVD reactor under low pressure. The simulations based on a quasi three-dimensional model revealed that the susceptor rotation suppresses the buoyancy convection and forms steeper gradients in temperature and concentration near the susceptor uniformly over wide area. At higher temperatures, the growth rate increased with rotation speed, but at lower temperatures the growth rate decreased with increasing rotation speed because the reduced retention time in the high-temperature region suppressed the gas-phase reaction.     

A low-order meshless model for multidimensional heat conduction problems

In this paper, a perturbation method is used to solve a two-dimensional unsteady heat conduction problem. Low-order transfer functions are defined. Step responses are obtained and compared to the complete numerical solutions given by a meshless method. The analytical results are found to be in good agreement with numerical solutions which reveals the effectiveness and convenience of the used method.     

Stress relaxation behavior of PMMA/PS polymer blends

In this work, the stress relaxation behavior of PMMA/PS blends, with or without random copolymer addition, submitted to step shear strain experiments in the linear and nonlinear regime was studied. The effect of blend composition (ranging from 10 to 30 wt.% of dispersed phase), viscosity ratio (ranging from 0.1 to 7.5), and random copolymer addition (for concentrations up to 8 wt.% with respect to the dispersed phase) was evaluated and correlated to the evolution of the morphology of the blends. All blends presented three relaxation stages: a first fast relaxation which was attributed to the relaxation of the pure phases, a second one which was characterized by the presence of a plateau, and a third fast one. The relaxation was shown to be faster for less extended and smaller droplets and to be influenced by coalescence for blends with a dispersed phase concentration larger than 20 wt.%. The relaxation of the blend was strongly influenced by the matrix viscosity. The addition of random copolymer resulted in a slower relaxation of the droplets.     

步进电动机4XWNC型智能化数控系统的研究

本文论述了步进电动机4XWNC知能化数控系统的硬软件原理,并提出了一种微型计算机分层管理的控制方法,4XWNC系统对普通机床改造成精密微机数控机床、三坐标以上的多坐标插补联动的实现以及机器人多运动环节的控制等有着重要的作用.     

Index to Volume 9 (2000)

The stochastic approximation EM (SAEM) algorithm is a simulation-based alternative to the expectation/maximization (EM) algorithm for situations when the E-step is hard or impossible. One of the appeals of SAEM is that, unlike other Monte Carlo versions of EM, it converges with a fixed (and typically small) simulation size. Another appeal is that, in practice, the only decision that has to be made is the choice of the step size which is a one-time decision and which is usually done before starting the method. The downside of SAEM is that there exist no data-driven and/or model-driven recommendations as to the magnitude of this step size. We argue in this article that a challenging model/data combination coupled with an unlucky step size can lead to very poor algorithmic performance and, in particular, to a premature stop of the method. This article proposes a new heuristic for SAEM's step size selection based on the underlying EM rate of convergence. We also use the much-appreciated EM likelihood-ascent property to derive a new and flexible way of monitoring the progress of the SAEM algorithm. The method is applied to a challenging geostatistical model of online retailing.     

One-dimensional chain structure produced by Ce on vicinal Si(1 0 0)

One-dimensional Ce nanowires have been grown on a single-domain vicinal Si(1 0 0) surface. The growth mode, including the structural and electronic properties as a function of the substrate temperature and Ce coverage, was studied using scanning tunneling microscopy and scanning tunneling spectroscopy. The results show the formation of Ce nanowires along the step edges on the vicinal Si(1 0 0) substrate at 580 °C.