Field‐Induced n‐Doping of Black Phosphorus for CMOS Compatible 2D Logic Electronics with High Electron Mobility

Black phosphorus (BP) has been considered as a promising two‐dimensional (2D) semiconductor beyond graphene owning to its tunable direct bandgap and high carrier mobility. However, the hole‐transport‐dominated characteristic limits the application of BP in versatile electronics. Here, we report a stable and complementary metal oxide semiconductor (COMS) compatible electron doping method for BP, which is realized with the strong field‐induced effect from the K⁺ center of the silicon nitride (Si_xN_y). An obvious change from pristine p‐type BP to n type is observed after the deposit of the Si_xN_y on the BP surface. This electron doping can be kept stable for over 1 month and capable of improving the electron mobility of BP towards as high as ~176 cm² V^–1 s^–1. Moreover, high‐performance in‐plane BP p‐n diode and further logic inverter were realized by utilizing the n‐doping approach. The BP p‐n diode exhibits a high rectifying ratio of ~10⁴. And, a successful transfer of the output voltage from “High” to “Low” with very few voltage loss at various working frequencies were also demonstrated with the constructed BP inverter. Our findings paves the way for the success of COMS compatible technique for BP‐based nanoelectronics.     

雷达高分辨距离像分类器的参数自适应学习算法

雷达高分辨率距离像具有目标姿态敏感性的特点,在识别时的一种解决方法是对目标不同角域建立不同的统计模型。在给定系统参数条件下,选择目标划分角域个数及每个角域覆盖范围是影响识别器运算量及识别性能的关键。该文给出了一种基于数据的自适应学习上述分类器参数的算法,基于联合高斯分布的数据模型通过迭代算法来确定数据划分边界,并自动确定目标角域个数。与等间隔数据划分方法相比,本文方法在降低识别运算量的同时,可以提高识别性能。基于实测数据的实验结果表明该方法是有效的。     

一种基于P2P的流媒体终端流量管理算法建模分析

基于P2P网络的流媒体技术可以向大规模用户群提供高质量、可交互的流媒体服务。本文以流媒体终端的功能模块为基础,探讨了一种P2P网络流媒体终端的分层结构模型,并着重对其中流管理模块中的节点自适应调整(peer adaptation)算法进行了建模分析,通过仿真对设计的模型算法及策略进行了对比验证,表明了同时采用所有策略的方式流量管理效果最好。     

基于Dijkstra算法的卷积码译码算法

卷积码的一般译码算法是齐头并进式的Viterbi算法。本文提出一种基于Dijkstra算法的一马当先式的卷积码译码算法,该算法利用Dijkstra扩散式最短路径算法,得出从开始时刻最先到达结束时刻的最短路径,从而译出发射码,由栅格图最终译出原码。相对于Viterbi算法,该算法实现简单,复杂度与卷积码约束长度无关。     

A Fullerene Seeded Strategy for Facile Construction of Nitrogen-Doped Carbon Nano-Onions as Robust Electrocatalysts

Carbon nano-onions (CNOs) as a novel form of carbon materials hold peculiar structural features but their electrocatalytic applications are largely discouraged by the demanding synthesis conditions (e.g., ≥1500 °C and vacuum). Using C₆₀ fullerene molecules as the sacrificial seeds and melamine as the main feedstock, herein, a novel strategy for the facile construction of CNOs nanoparticles is presented with ultrafine sizes (≈5 nm) at relatively low temperatures (≤900 °C) and atmospheric pressure. During the calcination, in-depth characterizations reveal that C₆₀ can retain the melamine-derived graphitic carbon nitride from complete sublimation at high temperatures (≥700 °C). Owing to the N removal and subsequent pentagon generation, severely deformed graphitic fragments together with the disintegrated C₆₀ molecules merge into larger sized nanosheets with high curvature, eventually leading to the formation of N-doped defect-rich CNOs. Owing to the integration of multiple favorable structural features of pentagons, edges, and N dopants, the CNOs obtained at 900 °C present superior oxygen reduction half-wave potential (0.853 V_RHE) and zinc–air cathode performance to the commercial Pt/C (0.838 V_RHE). Density functional theory calculation further uncovers that the carbon atoms adjacent to the N-doped edged pentagons are turned into the ORR-active sites with O₂ protonation as the rate-determining step.     

基于加权最大范数的SAR自聚焦方法

基于最大似然估计的特征向量分解自聚焦算法利用最大特征值对应的特征向量实现对相位误差的估计。该方法虽然具备精确和稳健的性能,但需要对协方差矩阵进行特征分解,导致实际数据在处理中运算量巨大,对内存要求也很高,难以在实时合成孔径雷达(SAR)成像处理中应用。该文提出一种基于加权最大范数的自聚焦方法,通过求解二范数最大化的优化函数对目标特征向量进行估计,避免了特征值的分解过程,有效提升了运算效率;利用信噪比加权的思想,对不同距离单元赋予不同的权值,增强了优质特显点样本对相位误差的估计贡献,有效改善了自聚焦精度。通过实测SAR和ISAR数据处理验证了算法的有效性。     

基于TSB-HMM模型的雷达高分辨距离像目标识别方法

针对雷达高分辨距离像(HRRP)的识别问题,该文提出了一种基于时域特征的截断Stick-Breaking过程隐马尔可夫模型(TSB-HMM),并建立了基于TSB-HMM模型的分层识别算法,利用TSB-HMM模型结合时域特征和功率谱特征对HRRP进行分层识别。实测数据的实验结果表明,该方法是一种有效的雷达HRRP识别方法,分层识别的算法可极大提高目标的平均识别率。特别是在训练样本数极少的情况下,TSB-HMM模型仍能获得较好的识别性能。     

������˹��ذ���ϵ�����ҳ��򼰰����Ҵ��㷢������

??Dolomite is the most important rock type for the development of the Ordovician effective reservoirs in the Ordos Basin. Its genesis remains controversial due to its complex and variable rock texture and occurrence. In this paper, through analysis of macroscopic regional geological background, microscopic rock texture, mineralogy, and geochemistry, the Ordovician dolomites in this area are divided into three types, i.e. micritic–fine powder crystal, coarse powder crystal, and fine (medium) crystal. It is pointed out that they were formed in three different dolomitization diagenetic environments, namely, penecontemporaneous dolomization by evaporative pumping, mixture dolomitization of freshwater and magnesium-rich brine, and seepage-reflux dolomitization, respectively. In terms of horizon and spatial distribution, they represent the features of "strata-controlled" and "region-specific". The analysis of genesis provides the following findings. First, the three types of dolomitization are correlated to certain extent in terms of temporal–spatial evolution. In other words, they were all originated along with the deposition of gypsum mineral under evaporation background. Second, the main pore types, i.e. dissolved pores, intercrystalline pores, and organic framework, were respectively formed in three types of dolomites. They generally distribute in "specific" type of dolomite, which indicates that the pore genesis is closely related to dolomitization diagenesis environment. Third, the development and distribution of effective dolomite reservoirs is mainly subject to three types of elements, such as primary sedimentary faices belts, diagenetic environment controlling regional dolomitization, and sequence boundary caused by variation of relative sea level.     

激光心肌血管再建的机理研究

激光在离体猪心肌和活体兔心脏上打孔。观察术后激光孔道的病理改变,认为激光血管再建的主要机理可能为激光孔道中血流缓慢,血栓形成,肉芽组织长入机化血栓,肉芽组织中丰富的毛细血管在血流冲击下改建与心肌组织中的毛细血管网沟通使血道重建。     

子波理论与应用:进展与展望

子波理论被认为是傅里叶分析的重大突破,它已成为当今从应用数学到信号与图象处理等众多领域的研究热点。本文综述了子波分析这一前沿领域的发展现状,评述了它的最新进展(包括离散与连续子波变换、快速子波算法及应用),指出了这一领域研究的有关问题。