The impedance tomography problem

Using an operator theoretic framework and pseudo-spectral methods, we provide a simple and explicit formula for the conductivity coefficient in terms of the Dirichlet to Neumann map and the eigenvalues of the Laplacian operator.

     

新的三维力学GELD正演和反演算法

在本文中 ,我们提出了新的整体积分和局部微分GILD的力学正演和反演方法 .我们建立了弹性和塑性力学的体积分微分方程 .我们证明了这个体积分方程和伽辽金虚功原理等价 .新的GILD方法是基于这个体积分微分方程 .GL方法是进一步的发展 ,GL是一种整体场和局部场相互作用的全新方法 .在这个方法中 ,仅仅需要解 3× 3或者 6 × 6的局部小矩阵 .特别是 ,用GL方法求解无限域的偏微分方程时 ,不需要任何人工边界 ,不需要任何吸收边界条件和不需要任何边界积分方程 .新的三维力学GILD正演和反演算法已被应用研究奈米材料的力学性质的模拟计算 .我们获得非常好的奈米材料的力学变形的超拉力的力学性质 .我们提出了新的奈米地球物理新概念和发现了GILD数值量子     

反射后激光(光子)螺旋性改变的量子论解释和信息论意义

基于近年来王顺金提出的处理螺旋光纤中激光(光子)传播时的螺旋性变化的理论方法和所得结果,分析了激光(光子)在反射后螺旋性(左旋与右旋)互换这一实验事实,发现激光(光子)反射的瞬息过程会产生一个极高的激光束回转频率,它与激光园偏振(光子自旋)发生科式惯性力耦合,进而改变激光(光子)的螺旋性.还发现当激光束回转频率达到极大时,将发生激光(光子)螺旋性(左旋与右旋)互换.讨论了激光反射后螺旋性互换的信息论含义及其应用.     

基于逆散射理论的地震波速度正则化反演

本文基于逆散射理论利用正则化有限差分对比源反演算法对地震波传播速度进行反演, 该方法是基于波动方程的频率域波形反演算法, 利用非线性共轭梯度法, 通过最小化目标优化函数不断迭代更新速度模型. 由于地球物理反演问题的病态性和不稳定性, 通过基于反演参数总变差的正则化处理, 使反演问题变为良性问题且算法具有较强的抗噪声干扰能力. 反演过程中使用了频率-空间域9点差分正演算子以及PML吸收边界条件. 与其他反演算法相比, 由于背景模型在反演迭代过程中保持不变, 可以避免在每次迭代过程中重新构造正演算子及矩阵分解等相关计算过程, 使得该算法非常适合于大规模三维反演计算. 此外, 本文采用基于MPI的并行计算, 进一步提高了反演计算的效率. 二维CSEG模型反演结果表明该方法可以反演得到高分辨率的地震波速度重建结果, 为地震勘探数据处理及解释提供准确的速度信息.     

类特异材料半导体复合结构中的电子Tamm态

通过选取具有特殊能带结构的半导体材料碲镉汞(Hg_1-xCd_xTe), 类比电磁体系得到了电子体系中的类单负材料、类双负材料等类特异材料, 然后将其组合成一维复合异质结构. 通过数值计算, 发现复合结构中存在新型电子Tamm态, 包括返向电子Tamm态和含类近零折射率材料复合结构中的电子Tamm态. 这些结果拓展了人们对电子Tamm态的认识.     

Preparation of polystyrene nanoparticles including fluorescent and hydrophobic materials by polymerization at phase inversion temperature

The polystyrene nanoparticles incorporating hydrophobic and fluorescent pyrene was successfully prepared by a direct polymerization at phase inversion temperature. The average diameter of the prepared polystyrene nanoparticles is around 30 nm or less: 22 nm. This preparation does not require any strong agitation, which is necessary for the usual mini‐emulsion polymerization, and does not need the large amount of surfactant as much as the usual microemulsion polymerization. The incorporation of pyrene in the prepared polystyrene particles was confirmed by fluorescence spectra. This developed method is superior to the addition of pyrene to polystyrene particles prepared, which causes large coagulum and gives polystyrene particles with lower weight fraction of pyrene. The developed method is expected to be applicable for preparation of polymer particles including various hydrophobic materials. Copyright © 2014 John Wiley & Sons, Ltd.     

基于粒子群优化的斜测电离图反演研究

斜向探测是电离层探测的主要方式之一,它能获得电波传播群时延和频率关系的电离图。斜测电离图包含了探测距离上电离层状态的有用信息,可以通过对这种电离图的反演提取电离层的状态信息。采用粒子群算法对斜测电离图进行了反演,取得了良好的效果。结果证明,该方法能够克服线性求解的不稳定性,获得较好的反演结果,展示了在处理实际斜向探测电离图的应用前景。     

Balanced and Unbalanced Components of Moist Atmospheric Flows with Phase Changes

Atmospheric variables(temperature, velocity, etc.) are often decomposed into balanced and unbalanced components that represent low-frequency and high-frequency waves, respectively. Such decompositions can be defined, for instance, in terms of eigenmodes of a linear operator. Traditionally these decompositions ignore phase changes of water since phase changes create a piecewise-linear operator that differs in different phases(cloudy versus non-cloudy). Here we investigate the following question: How can a balanced–unbalanced decomposition be performed in the presence of phase changes? A method is described here motivated by the case of small Froude and Rossby numbers,in which case the asymptotic limit yields precipitating quasi-geostrophic equations with phase changes. Facilitated by its zero-frequency eigenvalue, the balanced component can be found by potential vorticity(PV) inversion, by solving an elliptic partial differential equation(PDE), which includes Heaviside discontinuities due to phase changes. The method is also compared with two simpler methods: one which neglects phase changes, and one which simply treats the raw pressure data as a streamfunction. Tests are shown for both synthetic, idealized data and data from Weather Research and Forecasting(WRF) model simulations. In comparisons, the phase-change method and no-phase-change method produce substantial differences within cloudy regions, of approximately 5K in potential temperature, due to the presence of clouds and phase changes in the data. A theoretical justification is also derived in the form of a elliptic PDE for the differences in the two streamfunctions.     

$(f,g)$-反演的一些应用

我们给出了马欣荣的关于$(f, g)$-反演的三种应用. 在$(f, g)$-演中通过取具体的函数和序列, 我们推出了一些关于超几何级数与调和数的恒等式. 然后我们给出了一些关于$q$-超几何项的反演关系. 最后, 我们将$(f, g)$-反演和$q$-微分算子结合, 得到了一些$q$-级数恒等式.     

Inversion of electroencephalography data for a 2‐D current distribution

It is known from the fundamental work of Albanese and Monk that, the recovery of the support of a three dimensional current, within a conducting medium, from measurements of the generated exterior electric potential, is not possible. However, it is possible to recover the support of any other current, which is supported on a set of dimension lower than three. Nevertheless, no algorithm for such an inversion is known. Here, we propose such an algorithm for a two dimensional current distribution, and in particular, we apply this algorithm to the inverse problem of electroencephalography in the case where the neuronal current is restricted to a small disk of arbitrary location and orientation within the brain. The solution of this inverse problem is reduced to the solution of a nonlinear algebraic system, and numerical tests show that the there exists a unique real solution to this system.Copyright © 2014 John Wiley & Sons, Ltd.