新型非贵金属碳材料的开发及其氧还原性能研究

高效碳基非贵金属氧还原催化剂的开发是燃料电池突破高成本壁垒,实现商业化应用的关键.本文以金属有机框架为前驱体,采用简易的硫化-烧结处理工艺设计获得了一种新型钻/氮掺杂的多孔碳材料.通过对制备工艺进行优化,提高了材料的氧还原催化活性,分析获得了材料的微观结构与氧还原性能之间的相互影响规律,为非贵金属催化剂的开发提供了参考...     

原位低场核磁共振弛豫法定量监测光催化Cr(Ⅵ)还原反应

本文利用原位低场核磁共振（LF-NMR）技术在真实固液反应环境中对光催化还原Cr（Ⅵ）反应进行了定量研究,并对Ag纳米颗粒负载量不同的Ag担载石墨相氮化碳复合光催化剂（Ag/g-C₃N₄）在可见光照射下催化Cr（Ⅵ）还原为Cr（Ⅲ）的性能进行了研究.研究发现,Ag纳米颗粒负载（负载量分别为1 wt.%、2 wt.%、5 wt.%和10 wt.%）可以有效提高g-C₃N₄的光催化性能;且负载量为5 wt.%时光催化性能最优,为无Ag负载的g-C₃N₄的4倍.此外,本文还通过横向弛豫时间（T₂）定量分析了反应体系中顺磁性Cr（Ⅲ）离子的浓度,证实了采用LF-NMR弛豫法评价光催化Cr（Ⅵ）还原反应性能的可行性.     

半波长管传声损失分析

1/4波长管和Herschel-Quincke(HQ)管具有良好消声潜力,在其固有频率附近具有很高的消声量级,为了将这种消声潜力在更小的安装空间内和更宽的频带上发挥出来,设计了一种新的半波长管,通过对多管传声损失理论模型的推导,运用数值计算的方法,分析了传声损失的影响因素并对多分支管模型进行宽频带尺寸设计,最终实现在3...     

基于UMAP辅助的模糊C聚类方法进行太赫兹光谱识别

太赫兹(THz)具有低能性、瞬态性、波谱分析能力强的优点,在物质鉴别方面具有广阔的应用前景。现有的基于THz的物质鉴别方法,虽然取得了一定的效果,但是存在容易陷入局部最优的问题,从而导致识别精度不高。均匀流形逼近与投影(UMAP)作为一种非线性降维方法,其假设数据均匀分布在黎曼流形上,可以对具有模糊拓扑结构的流形进行建模。UMAP降维的过程是通过最小化两个拓扑表示之间的交叉熵,从而实现低维空间中数据表示的布局优化。传统的模糊C聚类方法(FCM)在聚类时,初始聚类中心往往随机给定,当初始聚类中心选择不恰当时,容易导致错误的聚类。为此,提出一种基于UMAP辅助的模糊C聚类算法,首先运用UMAP对输入的THz样本矩阵进行降维;再根据类与类之间距离最大化的原则,选择合适的初始聚类中心;最后利用模糊C均值聚类的方法进行聚类。所提出的方法不仅能够解决聚类过程中类与类之间过度拥挤的现象,而且能够反映出类别间的距离信息以便于给样本选择合适的初始聚类中心。为了验证提出的聚类方法的可靠性,运用太赫兹时域光谱技术对鲁棉研28、鲁棉研29、鲁棉研36、中棉28四种不同类型的转基因棉花种子进行了探测,利用基于U...     

Flaw-to-grain echo enhancement by split-spectrum processing

A split-spectrum processing technique for an ultrasonic flaw detection system has been developed which improves the flaw-to-grain echo ratio in large-grained materials. The enhancement is achieved by partitioning a wide-band received spectrum to obtain frequency shifted bands, which are then processed to suppress the grain echoes with respect to the flaw echo, using a novel signal minimization algorithm. Experimental data for titanium and stainless steel samples are presented which show superior flaw detection capabilities for the minimization algorithm with respect to frequency averaging techniques.     

YB叶片泵降噪途径的探讨

通过对ＹＢ型叶片泵的固体振动、液压冲击与脉动的噪声测定与分析，确定噪声源并探讨了对该类泵行之有效的降噪途径。文章对新颖的高次方程定子曲线特性进行了数学模拟，并确定其特征方程各系数，同时，文章又探讨了对减振槽的优化设计，以其最小压差、最低液压冲击作为目标函数，确定了减振槽最佳几何尺寸。     

Enhanced spontaneous emission factor for microcavity lasers

The microcavity and the influence of nonradiative recombination can control spontaneous emission. An analytic resolution of rate equation is studied for microcavity lasers. The relationship between output prop- erties and structural parameters of multi-quantum wells (MQWs) is obtained. One of the most important consequences of the incrcased spontaneous emission factor is the reduction of laser threshold. It is found that the characteristic curve of a "thresholdless" laser is strongly nonradiative depopulation-dependent. The light output is increased by the enhanced well number and the reduced width. In particular, there is an optimal well number corresponding to the lowest threshold current density for MQW structure in the microcavity lasers.     

On a Recent Proposal of Faster than Light Quantum Communication

In a recent paper, A.Y. Shiekh has discussed an experimental set-up which, in his opinion, should make possible faster-than-light communication using the collapse of the quantum wave function. Contrary to the many proposals which have been presented in the past, he does not resort to an entangled state of two systems but he works with a single particle in a superposition of two states—corresponding to its propagation in opposite directions—one of which goes through an appropriate interferometer. The possibility for an observer near the interferometer to introduce or not, at his free will, a phase shifter along one of the paths should allow to change instantaneously the probability of finding the particle in the far-away region corresponding to the other state of the superposition and, correspondingly, to change the intensity of a beam of particles reaching a distant observer. In this paper we show a flaw in the argument: once more, as it has been proved in full generality a long time ago, the process of wave packet reduction cannot be used for superluminal communication.     

Electromagnetic coupling reduction in dual-band microstrip antenna array using ultra-compact single-negative electric metamaterials for MIMO application

In this paper, an ultra-compact single negative(SNG) electric waveguided metamaterial(WG-MTM) is first investigated and used to reduce the mutual coupling in E H planes of a dual-band microstrip antenna array. The proposed SNG electric WG-MTM unit cell is designed by etching two different symmetrical spiral lines on the ground, and has two stopbands operating at 1.86 GHz and 2.40 GHz. The circuit size is very compact, which is only λ_0/33.6 ×λ_0/15.1(where λ_0 is the wavelength at 1.86 GHz in free space). Taking advantage of the dual-stopband property of the proposed SNG electric WG-MTM, a dual-band microstrip antenna array operating at 1.86 GHz and 2.40 GHz with very low mutual coupling is designed by embedding a cross shaped array of the proposed SNG electric WG-MTM. The measured and simulated results of the designed dual-band antenna array are in good agreement with each other, indicating that the mutual coupling of the fabricated dual-band antenna array realizes 9.8/11.1 d B reductions in the H plane, 8.5/7.9 d B reductions in the E plane at1.86 GHz and 2.40 GHz, respectively. Besides, the distance of the antenna elements in the array is only 0.35 λ_0(where λ_0 is the wavelength at 1.86 GHz in free space). The proposed strategy is used for the first time to reduce the mutual coupling in E H planes of the dual-band microstrip antenna array by using ultra-compact SNG electric WG-MTM.     

Approximate importance sampling Monte Carlo for data assimilation

Importance sampling Monte Carlo offers powerful approaches to approximating Bayesian updating in sequential problems. Specific classes of such approaches are known as particle filters. These procedures rely on the simulation of samples or ensembles of the unknown quantities and the calculation of associated weights for the ensemble members. As time evolves and/or when applied in high-dimensional settings, such as those of interest in many data assimilation problems, these weights typically display undesirable features. The key difficulty involves a collapse toward approximate distributions concentrating virtually all of their probability on an implausibly few ensemble members.

After reviewing ensembling, Monte Carlo, importance sampling and particle filters, we present some approximations intended to moderate the problem of collapsing weights. The motivations for these suggestions are combinations of (i) the idea that key dynamical behavior in many systems actually takes place on a low dimensional manifold, and (ii) notions of statistical dimension reduction. We illustrate our suggestions in a problem of inference for ocean surface winds and atmospheric pressure. Real observational data are used.