Study of the sintering behaviour of MgB2 superconductor during hot-pressing

The densification behaviour of MgB₂ was studied when commercial powder was hot-pressed in the temperature range 1070–1190 °C. The mechanisms active during sintering were investigated by continuously recording the shrinkage vs. time and elaborating the data on the basis of Kingery’s model for liquid phase sintering. XRD and SEM analysis on final dense bodies were used to evaluate secondary phases formation during sintering and the effect of magnesium sublimation. AC magnetic susceptibility measurements were also performed to correlate the microstructural and morphological modifications induced by hot-pressing and the superconducting properties.     

Physics with large extra dimensions

The recent understanding of string theory opens the possibility that the string scale can be as low as a few TeV. The apparent weakness of gravitational interactions can then be accounted by the existence of large internal dimensions, in the sub-millimeter region. Furthermore, our world must be confined to live on a brane transverse to these large dimensions, with which it interacts only gravitationally. In my lecture, I describe briefly this scenario which gives a new theoretical framework for solving the gauge hierarchy problem and the unification of all interactions. I also discuss a minimal embedding of the standard model, gauge coupling unification and proton stability. On leave from: Centre de Physique Théorique, Ecole Polytechnique, 91128 Palaiseau, Cedex, France.     

基于可见光-近红外光谱的BIF磁性率确定方法研究

铁矿中磁性率是评价铁矿床工业价值和划分矿石工业类型的重要指标。传统的磁性率测定法存在工作量大、效率低、周期长的缺陷,成为经济、合理、高效开采铁矿资源的瓶颈问题。采用便携式地物光谱测试仪对辽宁省鞍钢集团鞍千矿业有限责任公司的BIF实验样品进行可见光-近红外光谱测试,分析了光谱特征,构建了比值指数(RI)、差值指数(DI)和归一化指数(NDI),并确定光谱指数与样品磁性率相关性最显著的敏感波段及对应的相关系数值;优选出与样品磁性率相关性最显著的比值指数(RI),构建实验样品磁性率的定量反演模型,并进行了验证。结果表明,三种光谱指数与样品磁性率敏感波段均位于935与1 050 nm,且该波段处的相关系数均达到0.9以上,其中比值指数与样品磁性率的相关性最高;基于比值指数构建的实验样品磁性率定量反演模型的预测误差为0.038,反演磁性率与实测磁性率的判定系数(R2)为0.964 5,预测结果比较理想。为确定BIF的磁性率提供了一种新方法,该方法具有工作强度小、经济、高效、便捷的优点,且对遥感找矿具有一定指导意义。     

欧姆接触中接触电阻率的计算

从欧姆接触电阻率的定义出发,先从理论上介绍了热离子发射、热离子场发射和场发射三种不同情况下欧姆接触电阻率的计算公式,然后详细地从实验上综合各种测试方法,并讨论了其利弊．     

应用分离涡模型计算斜圆柱孔气膜冷却

分离涡模型(DES,Detached eddy simulation)兼有雷诺时均湍流模型计算量较小和大涡模拟计算精度高的优点。本文利用DES对平板单斜圆柱孔的气膜冷却进行了数值模拟,并将结果同RANS湍流模型的计算结果以及实验数据相比较,表明DES能有效弥补RANS湍流模型在计算三维不均匀非定常湍流场的不足,更接近实际地反映了气膜冷却中的流动和换热的本质规律。     

基于Contourlet域隐马尔可夫树模型的图像融合算法

本文提出一种基于Contourlet域隐马尔可夫树(HMT)模型的图像融合算法。由于Contourlet变换能克服小波变换在处理高维信号时的不足,它比小波变换具有更好的方向性、较高的逼近精度和更好的稀疏表达性能。而HMT模型能有效捕获尺度间、尺度内的contourlet系数特性。因此将Contourlet域HMT模型应用于图像融合领域,能充分挖掘数据之间的相关性,更好的提取图像边缘特征,为融合提取更多的特征信息。实验结果表明本文的算法获得的融合图像视觉效果良好,是一种有效且可行的融合算法。     

器件效应数值模拟中漂移扩散模型的误差分析

为了确定数值模拟过程中的误差来源,并针对误差来源改进软件,减小计算误差,对半导体器件数值模拟中的采用的漂移扩散模型进行了研究。结合自主开发的半导体器件效应软件GSRES,分析了软件中漂移扩散模型的理论近似,对计算模型中由于温度分布、载流子复合/产生率、载流子迁移率等项采取近似而导致的误差进行了分析。根据误差分析和数值模拟算例,认为误差主要来自于器件内部温度场分布和迁移率模型的近似,给出了软件的适用范围。结合半导体器件的研究热点和发展趋势,对该模型中需要进行改进的近似项进行了分析。     

基于有效端元集的双线性解混模型

光谱解混是用于定量分析高光谱图像中成分含量的一项重要技术方法,主要包括线性解混模型和非线性解混模型。线性解混模型构造简单,但并未考虑不同成分光子间的相互影响,导致解混结果在很多实际图像上不够精确。常用的非线性混合模型中的双线性解混算法,随着图像中端元数量增加,虚拟端元的数量也随之快速增加,计算精度受到很大的影响。论文报道改进了双线性解混的模型,并提出一种有效端元子集的选择算法。首先结合欧氏距离和光谱夹角,按照与混合像元的距离,将所有端元排序;然后利用排序结果和误差变化情况选择实际参与混合的端元子集。从而降低了未参与特定混合像元混合的端元对解混结果的影响,提高了解混精度。对模拟图像的测试效果证明了该算法可以减小光谱的重构误差,对实际航拍高光谱溢油图像的分析结果也进一步说明了算法的有效性。     

Anomalous change of groundwater radon concentration monitored at Nakaizu well in 2011

An anomalous increase in radon concentration was measured at the Nakaizu observatory on the Izu Peninsula prior to the 2011 Tohoku earthquake using a custom-made radon counter. Since the increase was more than three times the standard deviation of radon concentration variations over 35 years of recorded data, it is considered likely that it is a precursor to the earthquake. Following the earthquake, the radon concentration decreased exponentially to the background level. The anomalous increase is explained using a modified volatilization model containing three important aquifer parameters: the groundwater saturation ratio, the fracture surface area per unit volume, and the porosity. The modified model can also explain the radon concentration behavior prior to the 1978 Izu-Oshima-Kinkai earthquake.