螺旋波纹波导被动式脉冲压缩模拟研究

研究了一种基于螺旋波纹波导特殊色散特性对输入微波脉冲进行压缩的新方法。利用3维全电磁粒子模拟软件对X波段螺旋波纹波导进行了建模,模拟分析了该波导的特殊色散特性及提高功率增益的方法,并将已有模型脉冲压缩增益提高了6.65。模拟结果表明:通过优化输入微波的频率调制特性,可以获得更加符合被动式脉冲压缩所需要的调频形式;采用改进后的椭圆波导,可以得到更有利于被动式脉冲压缩的本征模式;通过延长渐变段长度,可以减少规则段和渐变段之间不均匀性造成的微波反射,从而实现更高的脉冲压缩增益。     

高功率固体激光器锥形空间滤波孔应用

锥形空间滤波孔是一种应用于高功率固体激光装置空间滤波的新型结构滤波小孔,其内部光滑的锥形结构可以有效滤除光束中的高频成分且避免等离子堵孔现象的发生。根据神光-Ⅲ主机装置结构特点,设计并加工了适用于主机装置的锥形空间滤波小孔,并开展了应用实验研究。通过与传统的平面结构滤波小孔对比可以看出,锥形小孔有效地避免了等离子体度堵孔现象,在与光束波前补偿技术配合使用条件下,保证光束顺利过孔,并成功实现了基频光7988 J的满能量输出。     

Metal enhanced photoluminescence of near-infrared CdTexSe1−x quantum dots

High-quality alloyed near-infrared CdTe_xSe_1?x quantum dots were synthesized by a modified organometallic method. The emission wavelength of the alloyed quantum dots were turned from visible to near-infrared range by changing the composition of the precursor. The photoluminescence intensity of the alloyed quantum dots was further enhanced by coupling through localized surface plasmons from Au nanoparticles. The alloyed CdTeSe quantum dots coupled with Au nanoparticles exhibited a 4 times photoluminescence enhancement than that of bare CdTeSe quantum dots by turning the localized surface plasmons resonant absorption of Au nanoparticles consistent to the excitation wavelength. This method will be beneficial for the potential applications in the biological imaging and detection.     

High order finite difference methods with subcell resolution for advection equations with stiff source terms

A new high order finite-difference method utilizing the idea of Harten ENO subcell resolution method is proposed for chemical reactive flows and combustion. In reaction problems, when the reaction time scale is very small, e.g., orders of magnitude smaller than the fluid dynamics time scales, the governing equations will become very stiff. Wrong propagation speed of discontinuity may occur due to the underresolved numerical solution in both space and time. The present proposed method is a modified fractional step method which solves the convection step and reaction step separately. In the convection step, any high order shock-capturing method can be used. In the reaction step, an ODE solver is applied but with the computed flow variables in the shock region modified by the Harten subcell resolution idea. For numerical experiments, a fifth-order finite-difference WENO scheme and its anti-diffusion WENO variant are considered. A wide range of 1D and 2D scalar and Euler system test cases are investigated. Studies indicate that for the considered test cases, the new method maintains high order accuracy in space for smooth flows, and for stiff source terms with discontinuities, it can capture the correct propagation speed of discontinuities in very coarse meshes with reasonable CFL numbers.     

Robust high order discontinuous Galerkin schemes for two-dimensional gaseous detonations

One of the main challenges in computational simulations of gas detonation propagation is that negative density or negative pressure may emerge during the time evolution, which will cause blow-ups. Therefore, schemes with provable positivity-preserving of density and pressure are desired. First order and second order positivity-preserving schemes were well studied, e.g., [6], [10]. For high order discontinuous Galerkin (DG) method, even though the characteristicwise TVB limiter in [1], [2] can kill oscillations, it is not sufficient to maintain the positivity. A simple solution for arbitrarily high order positivity-preserving schemes solving Euler equations was proposed recently in [22]. In this paper, we first discuss an extension of the technique in [22], [23], [24] to design arbitrarily high order positivity-preserving DG schemes for reactive Euler equations. We then present a simpler and more robust implementation of the positivity-preserving limiter than the one in [22]. Numerical tests, including very demanding examples in gaseous detonations, indicate that the third order DG scheme with the new positivity-preserving limiter produces satisfying results even without the TVB limiter.     

结构与参量不确定的网络与网络之间的混沌同步

进行了结构与参量不确定的网络与网络之间的混沌同步研究．通过设计适当的控制输入,不但实现了两个复杂网络之间的混沌同步,而且网络节点状态方程中的未知参量和网络内部节点之间的耦合强度也被同时确定．通过采用具有调制损耗的CO2激光器的状态方程进行仿真实验,发现网络与网络之间的同步性能非常稳定．     

地埋管换热特性实验研究

使用恒温循环媒介,利用热平衡原理,建立了单U型管模拟实验装置,对埋管与岩土间的热传递进行了实验。实验表明,在距埋管较近的范围内,岩土层有较快的温度相应速率,而在较远的范围内,岩土层的温度相应速率较慢。通过埋管换热器传热性能实验,利用线热源模型得到了实验岩土的热导率。     

普洱茶及其原料多糖分子组成及光谱学特性研究

研究了普洱茶发酵过程中多糖分子组成及光谱学特性的变化规律。结果显示,普洱茶及其原料多糖主要组分TPS1和TPS2的分子组成及光谱学特性差异显著。TPS2含有较高糖醛酸,而TPS1含有较高的中性糖和蛋白质。TPS1和TPS2均由半乳糖(Gal)、阿拉伯糖(Arb)、甘露糖(Man)、葡萄糖(Glu)、木糖(Xyl)、鼠李糖(Rha)六种单糖组成,其分子摩尔比分别为23.6∶5.9∶24.2∶1.1∶1.8∶3.2和26.9∶3.2∶19.3∶5.5∶1.3∶2.7。TPS2和TPS1的重均分子量分别为1.68×104和1.21×104道尔顿。TPS1和TPS2水溶液在200～400 nm之间无特征吸收峰。红外光谱图显示,TPS1和TPS2的信息基本相同,都是含有吡喃环的多糖。在三维AFM图中,TPS1形成的聚集体高度约为4 nm, 长宽约为0.2～0.4 μm,TPS2形成的聚集体高度约为40 nm,长宽约为0.5～0.8 μm。SEM图片显示,TPS1呈表面光滑的鳞片状聚集体,TPS2呈表面粗糙的片状聚集体。引起普洱茶及其原料多糖分子组成及光谱学性质发生变化的动力主要为微生物作用和湿热作用。     

扩压器几何参数对离心风机噪声的影响

本文试验研究了扩压器几何参数对一高速离心风机的噪声的影响。扩压器的几何参数包括叶片数、叶轮与扩压器的径向间隙和倾斜前缘倾角以及它们的耦合作用对风机噪声的影响。试验结果表明:(1)风机A声级噪声随扩压器叶片数增加而下降,但气动性能也随之下降;(2)扩压器前缘半径从R_3/R_2=1.03增加到1.07,在设计点风机A声级噪声降了约3 dB(A),继续增大至1.09则基本不变;(3)适当倾斜扩压器前缘可有效降低风机噪声,在设计点30°倾角扩压器相应的风机A声级噪声下降了约3.6 dB(A);(4)倾斜扩压器前缘与增大径向间隙的降噪效果不能叠加。     

Correcting the systematic error of the density functional theory calculation: the alternate combination approach of genetic algorithm and neural network

The alternate combinational approach of genetic algorithm and neural network (AGANN) has been presented to correct the systematic error of the density functional theory (DFT) calculation.It treats the DFT as a black box and models the error through external statistical information.As a demonstration,the AGANN method has been applied in the correction of the lattice energies from the DFT calculation for 72 metal halides and hydrides.Through the AGANN correction,the mean absolute value of the relative errors of the calculated lattice energies to the experimental values decreases from 4.93% to 1.20% in the testing set.For comparison,the neural network approach reduces the mean value to 2.56%.And for the common combinational approach of genetic algorithm and neural network,the value drops to 2.15%.The multiple linear regression method almost has no correction effect here.