氯分子Cl2激发态D’(2u3)势能函数的高阶修正

采用能量自洽法研究了Cl2分子D’(2u3)态的解析势能函数。结果表明,对于Cl2分子D’(2u3)态,传统的解析势能函数Morse势与基于实验的Rydberg–Klein–Rees (RKR)数据有明显偏差,普遍认为优秀的Murrell–Sorbie (MS)势的改进型Huxley–Murrell– Sorbie (HMS)却给出了与物理意义不符的势能行为。采用能量自洽法Energy Consistent Method (ECM)研究得到的三阶解析势能函数ECM(3)对HMS的势能行为虽有改进,但仍与RKR数据不符。我们对Cl2分子D’(2u3)态的解析势能函数进行了高阶修正,将ECM(3)势推广到五阶,得到的五阶解析势能函数ECM(5) 结果与RKR数据符合得很好,并且正确描述了包括渐近区和离解区在内的全程势能行为,而渐近区和离解区内的实验势能数据常常是缺乏的。     

用耦合簇理论及相关一致基研究NH2自由基的解析势能函数

运用CCSD(T)理论和Dunning等的系列相关一致基对NH2自由基的基态结构进行了优化,并使用优选出的cc-pV5Z基组对其进行了频率计算.得到的结果是:平衡核间距RNH=0.10247 nm,键角∠HNH=102.947°,离解能De=4.2845 eV,振动频率ν1(a1)=1546.0342 cm-1,ν2(a1)=3379.5543 cm-1和ν3(b2)=3474.4784 cm-1.对NH自由基及H2分子,使用优选出的cc-pV6Z基组对其基态的几何构型与谐振频率进行了计算并进行了单点能扫描,且将扫描结果拟合成了解析的Murrell-Sorbic函数.采用多体项展式理论导出了NH2自由基的解析势能函数,其等值势能图准确再现了它的离解能和结构特征.报导了NH2自由基对称伸缩振动等值势能图中存在的两个对称鞍点,对应于反应NH+H→NH2,势垒高度约为0.1378×4.184 kJ/mool.     

ClONO2异构化反应和分解反应的理论研究

用B3LYP/6 31+G(d)和MP2 (Full) /6 31+G(d)优化ClONO2 及其分解反应和异构化反应的过渡态和产物的分子结构 .在B3LYP/6 31+G(d)水平上计算了相关分子的振动频率 .ClONO2 的几何结构、振动频率和红外强度与实验测量值符合得很好 .找到了未曾报道的立体异构体 .对这一立体异构体进行了高级别理论方法CCSD(T) /6 311G(d)和QCISD(T) /6 311G(d)的几何结构优化和振动频率计算 ,表明它是一个稳定的立体异构体 .在所研究的几种反应中 ,ClONO2 分解为NO2 +ClO是最容易进行的反应 .而ClONO2 异构为立体异构体的反应是最难进行的反应 .其所需克服的过渡态的能垒为 4 81.5 2kJ/mol,而反应吸收能量为 2 99.85kJ/mol.次难进行的是ClONO2 经TS1到反应中间体M1,再经TS12而分解为ClNO +O2 的反应 .这个反应通道所需克服过渡态的能垒为 4 2 1.5 5kJ/mol,反应吸收能量为 15 7.98kJ/mol.从以上分析可知 ,和ClO +NO2 反应生成ClONO2 比较 ,ClONO2 具有较好的稳定性 .     

应该界定黑洞的“最大半径”和“最小半径”

 有关黑洞的习题在近几年的复习资料中经常出现,通过题中给出的一些有关物理量来估算黑洞的“最大半径”。那么什么是黑洞?一颗内部燃烧尽了的大质量恒星由于自身的引力作用,外壳不断向中心坍塌缩小,最后就会形成致密的黑洞。黑洞是宇宙中的实体微粒,它们的体积趋向于零,而密度几乎是无穷大,由于具有强大的引力,物体只要靠近这个微粒,就会被强大的引力吸入,连光也不能幸免。也就是说,没有任何信号能够从黑洞的作用范围内传出,人类无法看到里面的情形---对于观测者来说,那就是漆黑一片---这也是黑洞名字的由来。既然如此,那么衡量黑洞的大小只能用其作用范围(即“视界”)的“半径”来表示。     

Baeicklund Transformation and Multiple Soliton Solutions for （3＋1）-Dimensional Potential-YTSF Equation

We study an approach to constructing multiple soliton solutions of the (3 1)-dimensional nonlinear evolution equation. We take the (3 1)-dimensional potential- YTSF equation as an example. Using the extended homogeneous balance method, one can find a Backlund transformation to decompose the (3 1)-dimensional potential-YTSF equation into a set of partial differential equations. Starting from these partial differential equations, some multiple soliton solutions for the (3 1)-dimensional potential-YTSF equation are obtained by introducing a class of formal solutions.     

Analysis of Three Coupled Defects in One-Dimensional Photonic Bandgap Structure

The mutual interaction of three different defects in photonic crystals is studied theoretically. A theoretical model based on the classical wave analogue of the tight-binding （TB） picture is applied to the structure. We obtain analytic expressions for the eigenfrequencies and eigenmodes, from which the transmissions at resonance are derived. Based on this, a new type of the photonic quantum-well structure is investigated and its possible application is discussed. The TB predictions are compared with the transfer matrix method simulation results.     

Thermal Rate Constants of the N（^4S）＋O2（X^3∑g^-） → NO（X^2Ⅱ） ＋O（^3P） Reaction on the ^2A′ Potential Energy Surface

A quasiclassical trajectory study with the sixth-order explicit symplectic algorithm for the N（^4S）＋O2（X^3∑g^-） → NO（X^2Ⅱ） ＋O（^3P） reaction has been reported by employing a new ground potential energy surface. We have discussed the influence of the relative translational energy, the vibrational and rotational levels of O2 molecules on the total reaction cross section. Thermal rate constants at temperatures 300, 600, and 1000 K determined in this work for the reaction are 4.4 × 10^7, 1.8 × 10^10, and 3.1 × 10^11 cm^3mol^-1s^-1, respectively. It is found that they are in better agreement with the experimental data than previous theoretical values.     

Pattern recognition and data mining software based on artificial neural networks applied to proton transfer in aqueous environments

In computational physics proton transfer phenomena could be viewed as pattern classification problems based on a set of input features allowing classification of the proton motion into two categories： transfer ＇occurred＇ and transfer ＇not occurred＇. The goal of this paper is to evaluate the use of artificial neural networks in the classification of proton transfer events, based on the feed-forward back propagation neural network, used as a classifier to distinguish between the two transfer cases. In this paper, we use a new developed data mining and pattern recognition tool for automating, controlling, and drawing charts of the output data of an Empirical Valence Bond existing code. The study analyzes the need for pattern recognition in aqueous proton transfer processes and how the learning approach in error back propagation （multilayer perceptron algorithms） could be satisfactorily employed in the present case. We present a tool for pattern recognition and validate the code including a real physical case study. The results of applying the artificial neural networks methodology to crowd patterns based upon selected physical properties （e.g., temperature, density） show the abilities of the network to learn proton transfer patterns corresponding to properties of the aqueous environments, which is in turn proved to be fully compatible with previous proton transfer studies.     

损伤粘弹性力学的广义变分原理及应用

从粘弹性材料的Boltzmann迭加原理和带空洞材料的线弹性本构关系出发,提出了一种损伤粘弹性材料具有广义力场的本构模型．应用变积方法得到了以卷积形式表示的泛函,并建立了损伤粘弹性固体的广义变分原理和广义势能原理．把它们应用于带损伤的粘弹性Timoshenko梁,得到了Timoshenko梁的统一的运动微分方程、初始条件和边界条件． 这些广义变分原理为近似求解带损伤的粘弹性问题提供了一条途径．     

Cl+HD反应产物的极化与态分布

利用准经典轨线理论 ,在BW 2和G3两个势能面上 ,研究了Cl +HD反应的动力学 .计算结果表明 ,产物的转动取向对势能面及反应体系的质量因子非常敏感 .在BW 2势能面上 ,计算的两个产物的转动取向强于在G3势能面上计算的结果 ,而无论是在BW 2势能面上还是在G3势能面上 ,DCl产物的取向都强于HCl产物的取向 .计算结果还表明 ,在不同的势能面上反应物的转动激发对反应的影响有着显著的不同 .在BW 2势能面上 ,反应物的初始转动激发有利于Cl+HD反应的进行 ;而在G3势能面上 ,反应物的初始转动激发消弱了反应的反应性