Structural and physical properties of the 6H BaRuO3 polymorph synthesized under high pressure

The single-phase 6H BaRuO₃ with the hexagonal BaTiO₃ structure was synthesized at 5 GPa and 1000 °C. Rietveld refinement of the powder X-ray data for the 6H phase resulted in the lattice parameters to be a=5.7127(1) Å and c=14.0499(2) Å; the average Ru-O distance and direct Ru-Ru distance in the Ru₂O₉ dioctahedron being 1.992(6) and 2.5658(14) Å, respectively. The electrical resistivity of the 6H BaRuO₃ follows a relationship of ρ versus T^3/2 below 60.0 K, a signature deviation from the Fermi-liquid behavior. Both magnetic susceptibility and specific heat data indicate that the 6H BaRuO₃ is an exchange-enhanced Pauli paramagnet due to the electron correlation effect with large Wilson ratio R_W and Stoner enhancement factor. The comprehensive evolution of transport and magnetic properties from 9R across 4H to 6H BaRuO₃ was discussed.     

Quantum Correlation Swapping between Two Werner States Undergoing Local and Nonlocal Unitary Operations

In this paper, quantum correlation (QC) swapping between two Werner-like states, which are transformed from Werner states undergoing local and nonlocal unitary operations, are studied. Bell states measures are performed in the middle node to realize the QC swapping and correspondingly final correlated sates are obtained. Two different QC quantifiers, i.e., measurement-induced disturbance (MID) and ameliorated MID, are employed to characterize and quantify all the concerned QCs in the swapping process. All QCs in the concerned states are evaluated analytically and numerically. Correspondingly, their characteristics and properties are exposed in detail. It is exposed that, through the QC swapping process, one can obtain the long-distance QC indeed. Moreover, the similarities of monotony features of MID and AMID between the initial states and final states are exposed and analyzed.     

An Application of Inverse Reinforcement Learning to Estimate Interference in Drone Swarms

Despite the increasing applications, demands, and capabilities of drones, in practice they have only limited autonomy for accomplishing complex missions, resulting in slow and vulnerable operations and difficulty adapting to dynamic environments. To lessen these weaknesses, we present a computational framework for deducing the original intent of drone swarms by monitoring their movements. We focus on interference, a phenomenon that is not initially anticipated by drones but results in complicated operations due to its significant impact on performance and its challenging nature. We infer interference from predictability by first applying various machine learning methods, including deep learning, and then computing entropy to compare against interference. Our computational framework begins by building a set of computational models called double transition models from the drone movements and revealing reward distributions using inverse reinforcement learning. These reward distributions are then used to compute the entropy and interference across a variety of drone scenarios specified by combining multiple combat strategies and command styles. Our analysis confirmed that drone scenarios experienced more interference, higher performance, and higher entropy as they became more heterogeneous. However, the direction of interference (positive vs. negative) was more dependent on combinations of combat strategies and command styles than homogeneity.     

On Some Topological Indices Defined via the Modified Sombor Matrix

Let G be a simple graph with the vertex set V={v1,…,vn} and denote by dvi the degree of the vertex vi. The modified Sombor index of G is the addition of the numbers (dvi2+dvj2)−1/2 over all of the edges vivj of G. The modified Sombor matrix AMS(G) of G is the n by n matrix such that its (i,j)-entry is equal to (dvi2+dvj2)−1/2 when vi and vj are adjacent and 0 otherwise. The modified Sombor spectral radius of G is the largest number among all of the eigenvalues of AMS(G). The sum of the absolute eigenvalues of AMS(G) is known as the modified Sombor energy of G. Two graphs with the same modified Sombor energy are referred to as modified Sombor equienergetic graphs. In this article, several bounds for the modified Sombor index, the modified Sombor spectral radius, and the modified Sombor energy are found, and the corresponding extremal graphs are characterized. By using computer programs (Mathematica and AutographiX), it is found that there exists only one pair of the modified Sombor equienergetic chemical graphs of an order of at most seven. It is proven that the modified Sombor energy of every regular, complete multipartite graph is 2; this result gives a large class of the modified Sombor equienergetic graphs. The (linear, logarithmic, and quadratic) regression analyses of the modified Sombor index and the modified Sombor energy together with their classical versions are also performed for the boiling points of the chemical graphs of an order of at most seven.     

八角茴香与其伪品莽草的红外光谱三级鉴定研究

采用红外光谱三级鉴定的方法区分和鉴别了八角茴香及其伪品莽草。红外光谱三级鉴定即依次采用一维红外光谱、二阶导数谱和二维相关红外光谱,分辨率逐渐提高,谱图的差别也进一步放大。一维谱图中,两者整体峰形比较相似,但在3 400 cm-1附近八角茴香只出现一个特征峰3 392 cm-1,而莽草则出现3 482和3 387 cm-1两个特征峰。二阶导数谱在850～1 180 cm-1波段八角茴香的几个强峰峰强相对比较接近,其中1 015 cm-1为图中最强峰,而莽草的最强峰在1 070 cm-1附近;在1 180～1 500 cm-1波段八角茴香在1 469,1 454,1 442 cm-1附近的３个特征峰峰强明显强于1 292,1 276,1 266 cm-1附近的特征峰,而莽草则刚好相反。二维相关红外光谱中差异更明显,850～1 165 cm-1波段八角茴香在主对角线上的自动峰较强峰出现在1 153和1 000 cm-1,而莽草峰强较强的自动峰出现在911和878 cm-1;1 165～1 500 cm-1波段八角茴香呈现2个自动峰,而莽草则出现5个自动峰。可见红外三级鉴定方法是一种快速有效的鉴定中药材的方法。     

Separability Criteria Based on the Weyl Operators

Entanglement as a vital resource for information processing can be described by special properties of the quantum state. Using the well-known Weyl basis we propose a new Bloch decomposition of the quantum state and study its separability problem. This decomposition enables us to find an alternative characterization of the separability based on the correlation matrix. We show that the criterion is effective in detecting entanglement for the isotropic states, Bell-diagonal states and some PPT entangled states. We also use the Weyl operators to construct an detecting operator for quantum teleportation.     

稳定分层湍流中逆梯度输运的关联分析研究

本文采用关联分析方法研究了稳定温度分层湍流中的结构特性、输运特性,以及热量、动量逆梯度输运现象的尺度效应及其参数演化.首先采用大涡模拟方法对稳定分层湍流中的结构特性和输运特性进行了分析,将逆梯度输运发生的时间尺度作为已知条件,结合关联量分析方法在波数空间中的解析解,对逆梯度输运现象的尺度效应进行了分析研究.结果发现,稳定分层强度较大的流动中发生垂向热量及动量逆梯度输运现象,发生的结构尺度与关联分析所发现垂向热量、动量逆梯度输运的波数形成了呼应.随着分层强度增加,热量、动量的输运强度均受抑制,与逆梯度输运关联的流场结构尺度减小,同样的效应也发生在流场结构向下游演化的过程中.     

基于KPCA的氧碘激光器出光过程监控方法

根据氧碘化学激光器运行过程基本稳定的特点,利用核主元分析(KPCA)方法监控非线性过程的优势,提出了基于KPCA的激光器出光过程监控方法。该方法通过沿时间轴方向展开激光器正常出光的历史数据,建立了激光器出光过程中各时刻的KPCA模型,并在特征空间构建T2统计量和平方预测误差统计量对激光器出光过程进行监控。仿真计算和试验表明,该方法具有可靠的监控性能,能及时、准确地发现激光器出光过程中的异常状态。     

一种双路矢量合成式毫米波预失真线性化器

针对目前行波管放大器模拟预失真技术中存在的幅度和相位特性关联性强的问题,提出一种双路矢量合成式预失真器。该预失真器由90电桥、模拟电调衰减器和反射式二极管预失真电路构成。根据理论分析和ADS软件仿真结果加工了实际电路并进行测试。实测结果表明：在工作频率29～31 GHz和额定输入功率区间内,该电路可实现与行波管特性相反的预失真性能;合理调整两支路偏置电压,可实现相位扩张改变30,而增益扩张变化量小于1 dB的性能,有效减小了模拟预失真器幅度和相位特性的关联性。