基于密度泛函理论的S掺杂碳载体负载Pt催化剂对氧还原反应的影响

采用密度泛函方法对比研究了Pt/C催化剂中碳载体掺S前后对氧还原反应(ORR)的影响。从电荷分布、态密度及d带中心等性质出发,分析了金属-载体间相互作用,研究了ORR各物种在催化剂上的吸附并计算了ORR过电势。结果表明:S掺杂使得碳载体表面发生了电子转移,S上的电子转移到邻近的C原子上,负载Pt纳米颗粒后,Pt金属上的电子转移给了碳载体;Pt在S掺杂碳载体上的吸附更强,形成了Pt—C键和Pt—S键,Pt纳米颗粒的分散度和稳定性得到了提升;掺S使得催化剂d带中心下降,对ORR各中间体的吸附减弱,ORR过电势降低,表明掺S能提高催化剂的催化活性。

室温固相反应助力制备氮硫共掺杂碳限域的FeCoS_(2)复合物用于高性能钠离子电池负极

利用室温固相自组装反应制备Co和Fe双席夫碱配合物,随后在硫粉存在下中温热处理,使该配合物同时发生热解碳化和固相硫化反应,从而获得N、S共掺杂碳限域的FeCoS_(2)纳米复合物(记为FeCoS_(2)■NSC)。通过粉末X射线衍射、透射电镜、X射线光电子能谱和热重分析技术分别对纳米复合物的物相、形貌结构、组分和含量等进行物理表征,并通过循环伏安、恒电流充放电技术测试其电化学储钠性能。研究结果表明,最优化条件下制备的复合物(FeCoS_(2)■NSC-7001)中FeCoS_(2)粒子的平均尺寸约为3.4 nm,且被均匀限域在N、S共掺杂的碳基体中;该复合物作为钠离子电池负极时,在0.1 A·g^(-1)的电流密度下经过300次充放电循环,其可逆充电比容量仍高达310.4 mAh·g^(-1);即使在5 A·g^(-1)的大电流密度下,其充电比容量也高达146.0 mAh·g^(-1),呈现优异的电化学储钠性能。

基于层次分析法与改进D-S理论的阀水冷系统状态评估

为了及时评估保障换流阀可靠运行的阀水冷系统运行状态,首先,分析了换流站阀水冷系统整体构成,选取主要历史数据和实时数据构建了评估指标体系,通过三角形函数和半梯形函数以及专家调查法确定各个指标的隶属度;其次,基于层次分析法确定各个评估指标权重,改进D-S理论建立阀水冷系统运行状态评估模型;最后,通过采集实际工程阀水冷系统主要指标数据对模型进行了验证,并以阀水冷系统滤芯清洗前后数据为例对评估结果进行了对比。结果表明,所建模型能够对阀水冷系统运行状态做出准确识别和评估,有利于运维人员及时掌控阀水冷系统运行状态,保障其可靠运行。

基于T-S模糊模型的桥吊系统积分状态反馈控制

小车定位精度和负载摆角大小是桥式起重机控制系统的两个重要性能指标。采用状态反馈控制时小车位移会存在稳态误差,为了消除稳态误差,提高系统的定位精度,给出基于T-S模糊模型的积分状态反馈控制方法。在桥式起重机非线性动力学模型基础上,建立增维T-S模糊模型,基于所建模型设计并行结构的积分状态反馈控制器,通过线性矩阵不等式计算反馈增益矩阵,并对闭环系统的稳定性进行分析。实验结果表明积分状态反馈控制不仅可以提高系统的定位精度,减少定位时间,而且有较好的抗干扰能力。

基于S-PIN二极管的频率可重构缝隙芯片天线研究

为了实现高度集成化的片上可重构天线系统,利用硅基固态等离子体表面PIN(S-PIN)二极管技术,设计了一种C—Ku波段频率可重构的领结型缝隙芯片天线。文中讨论了利用S-PIN二极管作为芯片天线频率可重构部件的设计标准,并对S-PIN二极管的结构参数进行了分析。通过控制S-PIN二极管的截止/导通状态,提出的缝隙芯片天线可以实现从6.7 GHz到17.97 GHz的工作频率可重构,增益分别为4.63 dBi和3.4 dBi。在实际的流片和测试过程中发现,文中研制的S-PIN二极管具有良好的伏安特性。此外,固态等离子体天线工作在C波段和Ku波段时的实际中心工作频点分别位于6.6 GHz和17.9 GHz,与仿真结果相比具有良好的一致性,验证了S-PIN二极管在制造频率可重构芯片天线方面的潜力。

凝胶孔对水化硅酸钙(C-S-H)力学性能影响的分子动力学模拟

本研究首先利用分子动力学分析了不同尺寸凝胶孔对水化硅酸钙(C-S-H)弹性力学参数的影响,然后模拟了不同受力状态下的受力变形性能,比较并分析了应力应变关系的特征参数变化。结果表明:C-S-H的体积模量、剪切模量和杨氏模量均随凝胶孔尺寸的增大而减小。凝胶孔会降低CS-H拉伸、压缩和剪切时的力学性能和变形性能,但不同受力状态下的影响程度不同。凝胶孔对抗拉强度的影响程度最大,对抗压和抗剪强度的影响程度较小且基本相同;对拉伸变形性能的影响程度最大,对压缩变形性能的影响程度最小。

基于参数辨识的DTP-PMSM无传感器控制

针对双三相永磁同步电动机(DTP-PMSM)在受到外界和电机内部影响时,会出现电气参数变化和传感器精度下降的问题,提出一种带参数辨识的无传感器控制方案。该方案通过MRAS来实现电阻和电感的在线辨识,为了减小谐波的影响,将其推广到静止坐标系中,采用Popov超稳定性理论设计出新的自适应律,并使用BP神经网络来优化自适应律的增益,实现增益的在线调节,提高系统的辨识精度。此外,为进一步提高系统的鲁棒性,提出了一种基于线性扩张状态观测器和滑模控制相结合的改进锁相环,通过Lyapunove函数证明其稳定性。仿真结果表明,提出的方法能够实现对电气参数的准确辨识,提高系统控制性能。

Nonclassicality of a two-variable Hermite polynomial state

The nonclassicality of the two-variable Hermite polynomial state is investigated. It is found that the two-variable Hermite polynomial state can be considered as a two-mode photon subtracted squeezed vacuum state. A compact expression for the Wigner function is also derived analytically by using the Weyl-ordered operator invariance under similar transformations. Especially, the nonclassicality is discussed in terms of the negativity of the Wigner function. Then violations of Bell＇s inequality for the two-variable Hermite polynomial state are studied.

Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state

It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we inves-tigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state.Z-values in the vision-related brain regions were calculated, conifrming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental ifndings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.

Experimentally testing Hardy's theorem on nonlocality with entangled mixed states

Hardy＇s theorem on nonlocality has been verified by a series of experiments with two-qubit entangled pure states.However,in this paper we demonstrate the experimental test of the theorem by using the two-photon entangled mixed states.We first investigate the generic logic in Hardy＇s proof of nonlocality,which can be applied for arbitrary two-qubit mixed polarization entangled states and can be reduced naturally to the well-known logic tested successfully by the previous pure state experiments.Then,the optimized violations of locality for various experimental parameters are delivered by the numerical method.Finally,the logic argued above for testing Hardy＇s theorem on nonlocality is demonstrated experimentally by using the mixed entangled-photon pairs generated via pumping two type-I BBO crystals.Our experimental results shows that Hardy＇s proof of nonlocality can also be verified with two-qubit polarization entangled mixed states,with a violation of about 3.4 standard deviations.

Regulation on the Protection of Fossils Issued by the State Council of the People's Republic of China:Scientists' Researches Protected Legally—Further Explanation

With large-scale engineering projects being carried out in China, a large number of fossil localities have been discovered and excavated by responsible agencies, but still some important fossils of great value have been removed and smuggled into foreign countries. In the last three years, more than 1345 fossil specimens have been intercepted by Customs in Shenzhen, Shanghai, Tianjin, Beijing and elsewhere, and more than 5000 fossils, most of which are listed as key fossils,

CNTs@S composite as cathode for all-solid-state lithium-sulfur batteries with ultralong cycle life

The main challenges in development of traditional liquid lithium-sulfur batteries are the shuttle effect at the cathode caused by the polysulfide and the safety concern at the Li metal anode arose from the dendrite formation.All-solid-state lithium-sulfur batteries have been proposed to solve the shuttle effect and prevent short circuits.However,solid-solid contacts between the electrodes and the electrolyte increase the interface resistance and stress/strain,which could result in the limited electrochemical performances.In this work,the cathode of all-solid-state lithium-sulfur batteries is prepared by depositing sulfur on the surface of the carbon nanotubes(CNTs@S)and further mixing with Li10GeP2S12 electrolyte and acetylene black agents.At 60℃,CNTs@S electrode exhibits superior electrochemical performance,delivering the reversible discharge capacities of 1193.3,959.5,813.1,569.6 and 395.5 mAhg^-1 at the rate of 0.1,0.5,1,2 and 5 C,respectively.Moreover,the CNTs@S is able to demonstrate superior high-rate capability of 660.3 mAhg^-1 and cycling stability of 400 cycles at a high rate of 1.0 C.Such uniform distribution of the CNTs,S and Li10GeP2S12 electrolyte increase the electronic and ionic conductivity between the cathode and the electrolyte hence improves the rate performance and capacity retention.

A Novel Stateful PCE-Cloud Based Control Architecture of Optical Networks for Cloud Services

The next-generation optical network is a service oriented network,which could be delivered by utilizing the generalized multiprotocol label switching(GMPLS) based control plane to realize lots of intelligent features such as rapid provisioning,automated protection and restoration(P&R),efficient resource allocation,and support for different quality of service(QoS) requirements.In this paper,we propose a novel stateful PCE-cloud(SPC)based architecture of GMPLS optical networks for cloud services.The cloud computing technologies(e.g.virtualization and parallel computing) are applied to the construction of SPC for improving the reliability and maximizing resource utilization.The functions of SPC and GMPLS based control plane are expanded according to the features of cloud services for different QoS requirements.The architecture and detailed description of the components of SPC are provided.Different potential cooperation relationships between public stateful PCE cloud(PSPC) and region stateful PCE cloud(RSPC) are investigated.Moreover,we present the policy-enabled and constraint-based routing scheme base on the cooperation of PSPC and RSPC.Simulation results for verifying the performance of routing and control plane reliability are analyzed.

Reflections on the Mechanism of Cooperation between China and Arab States

During the Cold War,China’s diplomacy failed to treat the Arab states as a whole.It was not until the end of the Cold War that China established diplomatic relations with all 22 Arab states.Since then,a multilateral cooperation mechanism between China and Arab states has come into existence and become steadily developed.In 2004,the China-Arab States Cooperation Forum was established.In 2010,China and the Arab states announced the establishment of a strategic cooperative relationship.After the Gulf War,the Arab world entered a period of fragmentation and division.The situation deteriorated after the drastic changes in the Middle East in 2011,to the point of entering an era of granulation.The ability of The League of Arab States to operate as a single international actor has been greatly impaired.In the era of the fragmentation of the Arab world,the mechanism of multilateral cooperation between China and the Arab States has developed in spite of these great difficulties.In future,the role and function of the multilateral mechanism of cooperation between China and the Arab states needs to be clarified,and efficiency needs to be improved based on the existing mechanisms.

A Model of Federated Evidence Fusion for Real-time Urban Traffic State Estimation

In order to make full use of heterogeneous multi-sensor data to serve urban intelligent transportation systems, a real-time urban traffic state fusion model was proposed, named federated evidence fusion model. The model improves conventional D-S evidence theory in temporal domain, such that it can satisfy the requirement of real-time processing and utilize traffic detection information more efficaciously. The model frame and computational procedures are given. In addition, a generalized reliability weight matrix of evidence is also presented to increase the accuracy of estimation. After that, a simulation test is presented to explain the advantage of the proposed method in comparison with conventional D-S evidence theory. Besides, the validity of the model is proven by the use of the data of loop detectors and GPS probe vehicles collected from an urban link in Shanghai. Results of the experiment show that the proposed approach can well embody and track traffic state at character level in real-time conditions.

Detection of spin current through a quantum dot with Majorana bound states

The spin transport properties are theoretically investigated when a quantum dot(QD)is side-coupled to Majorana bound states(MBSs)driven by a symmetric dipolar spin battery.It is found that MBSs have a great effect on spin transport properties.The peak-to-valley ratio of the spin current decreases as the coupling strength between the MBS and the QD increases.Moreover,a non-zero charge current with two resonance peaks appears in the system.In the extreme case where the dot-MBS coupling strength is strong enough,the spin current and the charge current are both constants in the non-resonance peak range.When considering the effect of the Zeeman energy,it is interesting that the resonance peak at the higher energy appears one shoulder.And the shoulder turns into a peak when the Zeeman energy is big enough.In addition,the coupling strength between the two MBSs weakens their effects on the currents of the system.These results are helpful for understanding the MBSs signature in the transport spectra.

EFFECT OF THE EXISTING STATES OF CHROMIUM ION ON THE COLOR CHARACTERISTICS OF DOPED β-C_2S

According to the theory of crystal field, the existing state of chromium ions in β-C_2S was studied with optical spectra and EPR. The energy levels of chromium ions were calculated. Chromium ions exist in form of Cr^(4+) and Cr^(5+) coordinated with distorted octahedra. The reason of fading of β-C_2S hydrate is that the strength of light absorption declines be- cause of the valence change of chromium ions and chroninm dissolves out and loses in water.

Effect of Poisson’s ratio on stress state in the Wenchuan M_S8.0 earthquake fault

The Wenchuan Ms8.0 earthquake occurred on the Longmenshan fault which inclines at a dip angle exceeding 60 degrees. Since most thrust earthquakes occur on faults with dip angles of about 30 degrees, it is enigmatic why the Wenchuan earthquake occurred on such a steep fault. In this study we use a simple finite element model to investigate how the stress state in the fault changes with the variation of Poisson＇s ratio. The results show that, with the Poisson＇s ratio in the fault increasing, the magnitudes of the principal stresses increase and the maximum Shear stress decrease, and, especially, the angle between the maximum principal stress and the fault plane decreases, which will enhance the driving force to overcome the frictional resistance on the fault. The increase of Poisson＇s ratio in the fault may be an important factor to affect the occurrence of the fault earthquakes with large angles between maximum principal stress and fault plane.

Implementation of ternary Shor's algorithm based on vibrational states of an ion in anharmonic potential

It is widely believed that Shor＇s factoring algorithm provides a driving force to boost the quantum computing research.However, a serious obstacle to its binary implementation is the large number of quantum gates. Non-binary quantum computing is an efficient way to reduce the required number of elemental gates. Here, we propose optimization schemes for Shor＇s algorithm implementation and take a ternary version for factorizing 21 as an example. The optimized factorization is achieved by a two-qutrit quantum circuit, which consists of only two single qutrit gates and one ternary controlled-NOT gate. This two-qutrit quantum circuit is then encoded into the nine lower vibrational states of an ion trapped in a weakly anharmonic potential. Optimal control theory（OCT） is employed to derive the manipulation electric field for transferring the encoded states. The ternary Shor＇s algorithm can be implemented in one single step. Numerical simulation results show that the accuracy of the state transformations is about 0.9919.

Quantum Mechanics of Moving Bound States

The quantum mechanics of bound states with discrete energy levels is well understood. The quantum mechanics of scattering processes is also well understood. However, the quantum mechanics of moving bound states is still debatable. When it is at rest, the space-like separation between the constituent particles is the primary variable. When the bound state moves, this space-like separation picks up the time-like separation. The time-separation is not a measurable variable in the present form of quantum mechanics. The only way to deal with this un-observable variable is to treat it statistically. This leads to rise of the statistical variables such entropy and temperature. Paul A. M. Dirac made efforts to construct bound-state wave functions in Einstein’s Lorentz-covariant world. In 1927, he noted that the c-number time-energy relation should be incorporated in the relativistic world. In 1945, he constructed four-dimensional oscillator wave functions with one time coordinate in addition to the three-dimensional space. In 1949, Dirac introduced the light-cone coordinate system for Lorentz transformations. It is then possible to integrate these contributions made by Dirac to construct the Lorentz-covariant harmonic oscillator wave functions. This oscillator system can explain the proton as a bound state of the quarks when it is at rest, and explain the Feynman’s parton picture when it moves with a speed close to that of light. While the un-measurable time-like separation becomes equal to the space-like separation at this speed, the statistical variables become prominent. The entropy and the temperature of this covariant harmonic oscillator are calculated. It is shown that they rise rapidly as the proton speed approaches that of light.