高精度在线熔接光功率数据采集系统

设计了一种在线光功率探测对准及光纤熔接损耗测量的数据采集系统,利用虚拟仪器软件LabVIEW开发平台,实现了光纤对准、熔接及测量一体化和可视化.该系统实现了实时显示光纤对准时光功率变化情况、测量光纤熔接损耗值、评估光纤熔接等级、生成熔接数据报表等功能.实现结果表明:该系统实现了对多模光纤熔接损耗0.091d B的测量精度,能够稳定地采集光功率信号及显示相关对准和熔接信息,并且进行准确的光纤熔接损耗评价,具有较大的应用前景.     

分析材料参数对二维固/固声子晶体能带结构的影响

应用平面波展开法(PWE)分析了材料参数对二维固/固声子晶体能带结构的影响,发现散射体的剪切模量和密度是影响声子晶体能带结构的主要因素,杨氏模量对声子晶体能带结构的影响极小.当散射体的剪切模量小于基体时,声子晶体出现了多条带隙;反之声子晶体的带隙在填充率较大时出现,且与基体的剪切模量差值越大,声子晶体的带隙越宽.当散射体的密度小于基体时,只有在填充率较大时出现带隙且极窄;反之,声子晶体出现了多条带隙.继而采用钨、铍、碳、硅四种材料设计二维声子晶体,计算结果与上述推论颇为吻合,这为设计声子晶体在选材方面提供了理论依据.     

R(Fe,M)12的间隙原子效应研究

利用中子衍射,磁测量和Linear-muffin-tin-orbital (LMTO)能带结构计算研究了间隙氮原子对R(Fe, M)₁₂金属间化合物的结构和磁性的影响。系统地分析了间隙原子效应,并解释了间隙原子效应的起因和机理。     

NaBr晶体的能带结构

利用扩展休克尔方法,计算了ＮａＢｒ晶体的能带结构。得出了价带位置和能隙宽度,导带的最小点在Г１。该方案计算简便,大大节省了计算时间,与实验数据及其它理论计算结果比较表明,所得结果与实验数据符合较好。     

卤化银晶体能带结构的研究

利用扩展休克尔方法,结合自包容子程序,计算了卤化银晶体的能带结构,得出了带隙和价带宽度。结果表明三种晶体皆为非直接带隙物质。     

Ga(In)NAs材料的异常能带结构与光学特性

文章详细总结了近十年来人们对于Ga(In)NAs材料体系的理论和实验研究;从典型实验出发,分析了应用于Ga(In)NAs材料的四个理论模型以及它们的成功与不足;同时,通过对研究工作的总结与分析进一步阐述了Ga(In)NAs材料的异常能带结构和光学性质,并从实验结果分析现有理论的优点和不足,提出了进一步研究的方向。     

基于辛理论的Bernoulli-Euler梁波散射分析

为研究辛对偶力学体系下Bernoulli-Euler梁波的散射问题,通过构造Lagrange乘子以解除泛函约束,引入对偶变量,提出了Bernoulli-Euler梁的Hamilton对偶方程。综合运用本征向量展开法、辛Gram-Schmidt正交算法,以及精细积分法等方法剥离了Bernoulli-Euler梁能带结构中的禁带部分,获得了端部散射体的散射矩阵。结果表明：辛体系下Bernoulli-Euler梁的状态向量是由一对通带本征向量和一对禁带本征向量所组成的,其端部散射体的散射矩阵是一阶酉矩阵,入射波的功率流等于反射波的功率流,满足功率流守恒。     

单斜态TiO2电子结构的第一性原理研究

基于密度泛函理论的平面波超软赝势方法,对锐钛矿相TiO2和单斜态TiO2的电子结构,能带、电子态密度进行了分析.结果表明:相对于锐钛矿相TiO2,单斜态TiO2的原子布居、Ti-O键长及重叠布居数发生了变化;单斜态TiO2的禁带变宽,理论预测其光吸收波长可发生蓝移.     

Description of rotational properties of the superheavy nucleus ^256,258,260Rf by projected shell model

Band structure of the Z = 104 nucleus 256Rf has been a recent research focus in nuclear physics. We performed projected shell model calculations for this and some other neighboring Rf isotopes. Specifically, we studied rotational properties of these nuclei and showed that variations in dynamic moment of inertia were sensitive to single-particle structures, which may be useful information for locating the anticipated island of stability. Electromagnetic transition properties were also calculated, and measurable quantities were predicted for further experimental test.     

PBNA： An Improved Probabilistic Biological Network Alignment Method

Biological network alignment is an important research topic in the field of bioinformatics. Nowadays almost every existing alignment method is designed to solve the deterministic biological network alignment problem.However, it is worth noting that interactions in biological networks, like many other processes in the biological realm,are probabilistic events. Therefore, more accurate and better results can be obtained if biological networks are characterized by probabilistic graphs. This probabilistic information, however, increases difficulties in analyzing networks and only few methods can handle the probabilistic information. Therefore, in this paper, an improved Probabilistic Biological Network Alignment（PBNA） is proposed. Based on Iso Rank, PBNA is able to use the probabilistic information. Furthermore, PBNA takes advantages of Contributor and Probability Generating Function（PGF） to improve the accuracy of node similarity value and reduce the computational complexity of random variables in similarity matrix. Experimental results on dataset of the Protein-Protein Interaction（PPI） networks provided by Todor demonstrate that PBNA can produce some alignment results that ignored by the deterministic methods, and produce more biologically meaningful alignment results than Iso Rank does in most of the cases based on the Gene Ontology Consistency（GOC） measure. Compared with Prob method, which is designed exactly to solve the probabilistic alignment problem, PBNA can obtain more biologically meaningful mappings in less time.