周期势场中定向扩散流的蒙特卡罗计算

提出一种稳定和精确的坐标变换和闭合积分方法，用以求解描述周期势场中布朗粒子作定向运动的乘性朗之万方程。     

Allen-Bradley变频器：“阳春白雪”落地中国——访罗克韦尔自动化传动业务副总裁兼总经理罗伯特·艾森布朗先生

8月8日,一个在中国人眼里很＂吉利＂的日子,全球领先的工业自动化动力、控制与信息解决方案提供商罗克韦尔自动化在上海金桥开发区隆重举行其投资规模达600万美元,面积逾1万3千平方米的新厂房——罗克韦尔自动化控制集成（上海）有限公司的开业仪式。有关政府领导与罗克韦尔自动化管理人员出席了此次开幕式。[第一段]     

基于随机桥过程的窄带信道多径衰落仿真研究

将多径分量仿真为随机射线的传播,其轨迹描述为随机桥过程的样本。研究随机射线在渗流网格中扩散的物理规律,以改进物理散射约束,使之有足够样本用于场强时延分布建模。通过实验,模拟不同波长的波束在不同散射体密度的渗流网格内的扩散,得出信道的相干带宽、误码率和场强的统计特征,验证了信号的多径衰落统计特征与相应的随机射线扩散程度有关,随机射线模型能够较大概率地仿真信号多径衰落的特性。     

ACB三嵌段粒子分级自组装的布朗动力学研究

利用布朗动力学方法研究了ACB三嵌段粒子的分级自组装过程.由第一级组装得到的结构作为第二级组装的初始构型,通过调控体系中补丁B部分的吸引强度和补丁粒子的浓度,研究了第二级组装过程中形成有序结构的影响因素.通过设计组装模型、组装规则和组装路线,得到了蜂巢状网络结构和金刚石状结构.结果表明,在较高的吸引强度和适当的浓度下,可以得到更多且更规整的蜂巢状结构;较高和较低的吸引强度和浓度都不利于金刚石状结构的形成.     

一种识别淹没在噪声中信号的新方法

本文探索用分形理论研究信号加噪声系统的可能性。采用子波变换方法计算分维。分析结果表明，分形分析是强有力的信号处理工具，在信号识别中，分维是重要的参数。     

带电粒子形成胶体晶体的有效硬球模型判据的计算机模拟验证

在对胶体晶体的研究中,带电粒子胶体晶体的形成机理比硬球胶体晶体更加复杂,对其形成条件目前还缺少有效的判断依据. 有效硬球模型判据提出以有效直径作为判断参数. 为了验证该判据的有效性,利用布朗动力学模拟研究了不同有效直径下带电粒子胶体晶体的特性. 为了更加定量地研究单因素对带电胶体晶体形成的影响,取有效直径为2.8至0.8,并对一定的有效直径,研究了粒子几何直径和排斥力不同情况下的结晶行为. 在布朗动力学模拟过程中,采用径向分布函数和键序参数方法检测体系的结构变化,并分析所形成的晶体结构. 结果表明,在判断带电粒子胶体体系能否形成有序结构方面,有效硬球模型判据有一定的合理性. 但是,并不能将有效直径作为唯一的判别参数,而是需要综合其他参数的影响,这显示出该判据的片面性. 关键词： 布朗动力学模拟 带电胶体晶体 有效硬球模型     

布朗扩散系数对胶体聚集粒子簇大小动态标度影响的MonteC …

通过对胶体扩散控制聚集机理的ＭｏｎｔｅＣａｒｌｏ模拟，表明粒子簇的布朗扩散系数与其大小和形状有关，粒子簇的大小分布可被标度、在微观或介观的层次上，揭示了表征粒子簇结构的几何形状因子在扩散控制聚集过程中对动态标度和粒子簇分布的影响。     

Besov空间中双参数Volterra型重分数过程的弱逼近

In this paper, we prove that two-parameter Volterra multifractional process can be approximated in law in the topology of the anisotropic Besov spaces by the family of processes{B_n(s,t)},n∈N defined by B_n(s,t)=∫_0~s ∫_0~tk_(a(s))(s,u)K_(β(t))(t,u)θ_(n(u,v))dudv,here {θ_n(u, v)}n∈N is a family of processes, converging in law to a Brownian sheet as n→∞,based on the well known Donsker's theorem.     

Two-component Brownian coagulation: Monte Carlo simulation and process characterization

The compositional distribution within aggregates of a given size is essential to the functionality of composite aggregates that are usually enlarged by rapid Brownian coagulation. There is no analytical solution for the process of such two-component systems. Monte Carlo method is an effective numerical approach for two-component coagulation. In this paper, the differentially weighted Monte Carlo method is used to investigate two-component Brownian coagulation, respectively, in the continuum regime, the free-molecular regime and the transition regime. It is found that (1) for Brownian coagulation in the continuum regime and in the free-molecular regime, the mono-variate compositional distribution, i.e., the number density distribution function of one component amount (in the form of volume of the component in aggregates) satisfies self-preserving form the same as particle size distribution in mono-component Brownian coagulation; (2) however, for Brownian coagulation in the transition regime the mono-variate compositional distribution cannot reach self-similarity; and (3) the bivariate compositional distribution, i.e., the combined number density distribution function of two component amounts in the three regimes satisfies a semi self-preserving form. Moreover, other new features inherent to aggregative mixing are also demonstrated; e.g., the degree of mixing between components, which is largely controlled by the initial compositional mass fraction, improves as aggregate size increases.