二氧化碳从它溶胀后的聚合物中的解吸

研究了经过４０℃,８．０￣１４．０ＭＰａ的超临界二氧化碳溶胀后的６种聚合物ＬＤＰＥ、ＰＰ、ＰＡ６、ＥＶＡ、ＰＵ中的ＣＯ２解吸情况,模拟了聚合物中ＣＯ２的解吸规律,即以时间的自然指数递减规律,并根据Ｆｉｃｋ扩散定理从理论上推导出ＣＯ２在聚合物中的解吸方程,由解吸方程计算解吸扩散系数,结果表明ＣＯ２的解吸扩散系数数量级达１０＾－７ｃｍ＾２／ｓ,解吸扩散系数与ＣＯ２在聚合物中的浓度和温度以及解吸前聚合物     

生物组织中的光分布研究

本文利用蒙特卡罗方法模拟了单层生物组织中光的传输与分布情况,给出了生物组织中的光子数分布随着g因子、层厚d、吸收系数以及散射系数的变化而变化的关系,分析了其变化的原因     

Multiparticle correlations in resonance-matter formation

The effect of multiparticle correlations on resonance and pion populations, in relativistic nuclear reactions, is calculated in the context of an intranuclear cascade model which includes N-body (N > 2) collisional processes. The resonance-matter population present in the highly-compressed phase of nucleus-nucleus collisions is investigated, in reactions between different intermediate-mass nuclear systems. Received: 29 December 1998 / Revised version: 20 December 1999     

Time-Resolved Measurements of in vivo Optical Properties of Piglet Brain

The in vivo optical properties of a piglet brain were measured using a time-resolved system at three different wavelengths (759, 794, 824 nm). To separate the contribution of different head layers to the detected signals, the measurements were acquired from the surfaces of skin, skull, dura mater and brain. The source detector distance was chosen to assure a mean penetration depth within each layer. Measurements were analyzed and compared with the results of other in vivo measurements reported in literature.     

变分量子Monte Carlo的一个新算法

提出变分量子MonteCarlo(VMC)计算的新算法-极小化方差(MV)方法.它从局域能的内部结构出发,直接削减其波动以达到将VMC的方差减到极小的目的.给出了局域能的分析表达式,导出VMC的极小方差原理,并建立方差极小化的计算步骤.     

现代结构系统可靠性评估理论研究进展

简要介绍大型结构系统可靠性评估理论的发展概况,对各个时期有代表性的估算方法进行了比较系统的分析,重点阐述了复杂系统可靠性精确评估理论的整体框架,对近年来兴起的随机有限元法,直接ＭｏｎｔｅＣａｒｌｏ模拟法,响应面法和广义失效面及广义母体分布重构方法的应用前景作了粗略的预测。      

A Semi‐Microscopic Modeling for Polymer Flow Reactors

Summary: A nonisothermal plug‐flow reactor for ethylene polymerization is reexamined so as to illustrate the principle and effect of a refined, semi‐microscopic modeling. The novel feature of the current simulation is the application of a Monte Carlo scheme to exactly solve the free‐radical polymerization involved, whereas a reptation‐based molecular theory is introduced in a self‐consistent manner to simulate more accurately the reactant fluid viscosity during polymerization. The simulation is shown to capture some in‐depth consequences of reaction‐transport coupling that cannot be revealed by a traditional, macroscopic type of modeling. The principle of a future extension for dealing with more complex flow reactors is briefly discussed.

Comparison of the predicted temperature profile between Monte Carlo‐based simulation and the ones using moment equations together with two different weight distributions is shown with experimental data for LDPE.     

中子引起单粒子翻转过程的Monte Carlo计算模拟

从中子与硅原子相互作用的物理机理出发,利用Monte Carlo方法编制了中子引起单粒子翻转的计算模拟程序,并对14 MeV中子环境下的16K位静态存储器硅片翻转过程中的物理量进行了计算,同时可为中子引起的单粒子翻转的研究提供截面和描述内部物理过程的参考数据。     

水煤气变换反应初始微观反应动力学的模拟研究

用蒙特水罗方法对水气转移反应两种典型机理的寝反应动力学进行了研究。结果表明,Ｔｅｍｋｉｎ等人的氧化－还原机理中,无论反应物ＣＯ和Ｈ２Ｏ的相对浓度怎样变化,ＣＯ２和Ｈ２的初始生成速率总是相差很大。     

Phase Space Transformations of Gaussian Diffusions

It is shown that for Gaussian diffusions, the transformation back to Brownian motion, usually accomplished via the Girsanov (or Feynman–Kac) formula and time-shift, can be obtained by a classical canonical, i.e. symplectic, transformation in phase space. The method is based on constants of motion, in this case the Wronskian. Similar transformations for general diffusions are briefly discussed.