Studies of heterogeneity properties of selected high-temperature superconductor surfaces

Nitrogen adsorption measured at 77 K was used to characterize the surface heterogeneity of high-temperature superconductor surfaces. Properties relating to adsorption and porosity of the solids (adsorption capacity, specific surface area, radii and volume of the pores, pore-size distribution function) were determined from nitrogen adsorption–desorption isotherms and atomic force microscopy (AFM) for a series of oxide superconductors. It is shown that the adsorption isotherms of all samples are S-shaped and belong to type II according to the IUPAC classification. On the basis of the nitrogen adsorption isotherms and AFM data, fractal dimensions were determined and correlations found with adsorption and porosity parameters.     

粗糙表面分维计算的立方体覆盖法

针对三角形棱柱表面积法和投影覆盖法在计算粗糙表面分形维数中存在的问题,提出了计算粗糙表面分维的立方体覆盖法,对计算结果进行了对比分析,并进一步对表面分维计算中的有关理论问题进行了分析,发现立方体覆盖法作为一种几何意义上的覆盖法,并计算结果比三角形棱柱表面积法和投影覆盖法更接近实际。     

Hitting probabilities and the Hausdorff dimension of the inverse images of a class of anisotropic random fields

Let X = {X(t):t ∈ R~N} be an anisotropic random field with values in R~d.Under certain conditions on X,we establish upper and lower bounds on the hitting probabilities of X in terms of respectively Hausdorff measure and Bessel-Riesz capacity.We also obtain the Hausdorff dimension of its inverse image,and the Hausdorff and packing dimensions of its level sets.These results are applicable to non-linear solutions of stochastic heat equations driven by a white in time and spatially homogeneous Gaussian noise and anisotropic Guassian random fields.     

基于概率密度演化的输电塔-线体系抗风可靠性分析

以三线两塔直线段输电塔-线体系为工程对象,应用有限元数值模拟,建立了基于概率密度演化的输电塔-线体系抗风可靠性分析方法。首先,应用谱表示-降维方法模拟结构脉动风场,生成风荷载的代表性样本集合。然后,结合概率密度演化理论,分析了输电塔-线体系考虑气弹效应的随机动力反应。最后,应用等价极值思想构建了风荷载作用下输电塔-线体系失效准则,进而对输电塔-线体系的抗风可靠性进行精细化分析。本文结合谱表示-降维方法与概率密度演化理论,实现了仅用较少数量的代表性样本来精细地分析结构的抗风可靠性,为工程实践提供参考。     

An efficient spectral method and rigorous error analysis based on dimension reduction scheme for fourth order problems

In this paper, we propose an effective spectral method based on dimension reduction scheme for fourth order problems in polar geometric domains. First, the original problem is decomposed into a series of one‐dimensional fourth order problems by polar coordinate transformation and the orthogonal properties of Fourier basis function. Then the weak form and the corresponding discrete scheme of each one‐dimensional fourth order problem are derived by introducing polar conditions and appropriate weighted Sobolev spaces. In addition, we define the projection operators in the weighted Sobolev space and give its approximation properties, and further prove the error estimation of each one‐dimensional fourth order problem. Finally, we provide some numerical examples, and the numerical results show the effectiveness of our algorithm and the correctness of the theoretical results.     

Universal critical properties of the Eulerian bond-cubic model

We investigate the Eulerian bond-cubic model on the square lattice by means of Monte Carlo simulations,using an efficient cluster algorithm and a finite-size scaling analysis.The critical points and four critical exponents of the model are determined for several values of n.Two of the exponents are fractal dimensions,which are obtained numerically for the first time.Our results are consistent with the Coulomb gas predictions for the critical O(n) branch for n < 2 and the results obtained by previous transfer matrix calculations.For n=2,we find that the thermal exponent,the magnetic exponent and the fractal dimension of the largest critical Eulerian bond component are different from those of the critical O(2) loop model.These results confirm that the cubic anisotropy is marginal at n=2 but irrelevant for n < 2.     

Estimates of Dirichlet Eigenvalues for One-Dimensional Fractal Drums

Let $\Omega$, with finite Lebesgue measure $|\Omega|$, be a non-empty open subset of $\mathbb{R}$, and $\Omega=\bigcup_{j=1}^\infty\Omega_j$, where the open sets $\Omega_j$ are pairwise disjoint and the boundary $\Gamma=\partial\Omega$ has Minkowski dimension $D\in (0,1)$. In this paper we study the Dirichlet eigenvalues problem on the domain $\Omega$ and give the exact second asymptotic term for the eigenvalues, which is related to the Minkowski dimension $D$. Meanwhile, we give sharp lower bound estimates for Dirichlet eigenvalues for such one-dimensional fractal domains.     

基于视感知特征的多光谱高保真降维方法研究

为解决多光谱数据在降维压缩过程中的颜色精度保持问题,提出一种基于人眼视觉感知特征的多光谱数据高保真降维压缩方法(VPCM)。研究首先依据人眼视觉响应的非线性解析特征,成功构建了同时综合人眼光谱特征与色度特征的变换函数,并通过进一步构造的优化函数对其进行修正,以针对不同的样本集找到最佳变换方向,而后利用修正后的视觉特征变换函数对光谱样本集进行空间变换(Γ(S)=C),然后利用主成分分析方法对经视觉特征函数变换后样本集光谱数据进行降维压缩处理,并通过逆变换重构出样本集光谱数据(Γ-1(C)=^S),进行降维评价。实验选取四类具有典型代表性的数据集作为测试样本,分别以D50/2°条件下的CIELab色差和75组典型照明光源(钨丝灯、荧光灯和LED灯)下的平均同色异谱指数(MMI)作为色度主要评价指标,同时对比了Lab-PQR和2-XYZ两种较为先进的光谱降维算法。实验结果为VPCM方法的MMI值最小,其次是LabPQR,而2-XYZ的表现较差;VPCM方法在75组光源下对四组样本集的平均重构色差ΔEab也为最小,且最大样本平均色差及方差均要小于其他两种方法;VPCM方法的重构光谱精度介于Lab-PQR和2-XYZ之间,Lab-PQR的重构光谱精度最高。实验结果显示新方法色度压缩精度整体优于对比的两种方法,在变换参考条件下具有良好的色差稳定性,能够较好的应用于多光谱数据色度高保真压缩。     

长脉冲keV X射线源的辐射特征

利用神光Ⅱ第九路2 ns长脉冲激光束作用厚钛固体靶,研究了产生的keV X射线源的辐射区域和总辐射功率的时间行为。结果表明：在长脉冲激光作用厚固体靶时,硬X射线线辐射功率的时间行为以及辐射体积的时间行为与激光脉冲波形一致;长脉冲时,等离子体2维膨胀效应非常显著,keV X射线线辐射的径向辐射区域在激光焦斑尺寸附近达到饱和,导致X射线线辐射功率出现饱和,且keV X射线线辐射的辐射体积正比于焦斑尺寸的3次方。从理论和实验角度研究了在同样入射激光能量下,辐射功率随激光焦斑尺寸的变化关系,发现keV X射线线辐射的饱和辐射功率正比于焦斑尺寸的5/3次方,理论结果与实验结果一致。并讨论了相同基频输出激光能量下,keV X射线辐射总功率随激光波长的变化关系,发现即使考虑了倍频效率的影响,短波长激光仍然有利于keV X射线的发射。