折射率可调的二维光子晶体设计与特性

光子晶体在传感、滤波和光子晶体激光器等方面具有很重要的应用价值。设计了一种基于改变缺陷介质折射率的可调谐二维正方晶格和三角晶格光子晶体激光器微腔,在平面光子晶体薄板中引入点缺陷磷酸氧钛钾(KTP),在KTP两端施加交流电场控制KTP晶体折射率变化。实验中随着KTP晶体折射率逐渐增大,正方晶格光子晶体禁带数量减少,归一化频率减小,禁带宽度基本不变;而三角晶格光子晶体禁带逐渐变窄,且向低频方向移动。最后,用平面波展开法分析了晶体的能带结构,得到理论上的描述,验证了实验结果。     

CPR1000MW核电机组模块式凝汽器特点及组合安装技术

宁德核电厂CPR1000压水堆核电机组,常规岛最大的辅机设备凝汽器为模块式供货,阐述了该设备结构特点,现场安装组合方案优化、整体组合工序,以及模块组合、托运就位、注水试验等主要工序的组合安装技术,提高了施工效率和经济性,保证了模块武凝汽器的安装质量,为同类设备施工提供参考.     

基于DSP和VXI-11协议的LXI仪器控制与实现

为实现嵌入式系统对LXI仪器的远程控制,采用DSP芯片扩展DP83848C以太网接口芯片的硬件方案和基于简化TCP/IP协议及RPC协议支持的软件方案,在分析TCP连接过程、RPC调用流程和VXI-11协议工作过程的基础上,设计实现了支持VXI-11协议的嵌入式硬件平台和控制软件;以RS SMB100A微波信号源为被控对象的实验测试及数据分析结果表明,文中的硬件平台和控制软件可以根据协议工作时序正确发送控制数据包,LXI仪器可以正确响应嵌入式端的远程控制命令;文章提出的基于DSP和VXI-11协议的LXI仪器控制方案即可以用于实现分布式、低成本、灵活性较高的自动测试系统,也可以用于LXI仪器控制的桥接方案设计。     

A Highly Reversible Long‐Life Li–CO2 Battery with a RuP2‐Based Catalytic Cathode

Rechargeable Li–CO₂ batteries have attracted worldwide attention due to the capability of CO₂ capture and superhigh energy density. However, they still suffer from poor cycling performance and huge overpotential. Thus, it is essential to explore highly efficient catalysts to improve the electrochemical performance of Li–CO₂ batteries. Here, phytic acid (PA)‐cross‐linked ruthenium complexes and melamine are used as precursors to design and synthesize RuP₂ nanoparticles highly dispersed on N, P dual‐doped carbon films (RuP₂‐NPCFs), and the obtained RuP₂‐NPCF is further applied as the catalytic cathode for Li–CO₂ batteries. RuP₂ nanoparticles that are uniformly deposited on the surface of NPCF show enhanced catalytic activity to decompose Li₂CO₃ at low charge overpotential. In addition, the NPCF its with porous structure in RuP₂‐NPCF provides superior electrical conductivity, high electrochemical stability, and enough ion/electron and space for the reversible reaction in Li–CO₂ batteries. Hence, the RuP₂‐NPCF cathode delivers a superior reversible discharge capacity of 11951 mAh g^?1, and achieves excellent cyclability for more than 200 cycles with low overpotentials (<1.3 V) at the fixed capacity of 1000 mAh g^?1. This work paves a new way to design more effective catalysts for Li–CO₂ batteries.     

Plastic Microfluidic Systems for High-Throughput Genomic Analysis and Drug Screening

Genomic analysis and drug discovery depend increasingly on rapid, accurate analysis of large sets of sample and extensive compound collections at relatively low cost. By capitalizing on advances in microfabrication, genomics, combinatorial chemistry, and assay technologies, new analytical systems are expected to provide order-of-magnitude increases in analysis throughput along with comparable decreases in per-sample analysis costs. ACLARA's single-use, plastic LabCard™ systems, which transport fluids between reservoirs and through interconnected microchannels using electrokinetic mechanisms, are intended to address these analytical needs. These devices take advantage of recent developments in microfluidic and microfabrication technologies to permit their application to DNA sequencing; genotyping and DNA fragment analysis, as well as pharmaceutical candidate screening, and preparing biological samples for analysis. In a parallel effort, ACLARA has developed a new class of reporter molecules that are particularly well suited to capillary electrophoretic analysis. These electrophoretic mobility tags, called eTag™ reporters, can be used to uniquely label multiplexed sets of oligonucleotide recognition probes or proteins, thereby permitting traditionally homogeneous biochemical reporter assays to be multiplexed for CE analysis. Biochemical multiplexing is key to achieving new thresholds in analytical throughput while maintaining economically viable formats in many application areas. ACLARA's microfluidic, lab-on-a-chip concept promises to revolutionize chemical analysis, similar to the way miniaturization revolutionized computing, making tools continually smaller, more integrated, less expensive, and higher performing.     

Super Strengthening Nano-Polycrystalline Diamond through Grain Boundary Thinning

Introducing nanostructures into diamonds is quite appealing for the synthesis of superhard materials with superior properties. However, as the grain size decreases to nanoscale, grain boundary effects become crucial yet complicated in the nanopolycrystalline diamond (NPD), making it challenging to tailor nanostructures. Here, atomistic simulations are combined with experiment to demonstrate a strengthening strategy for the sintered NPD by introducing thin amorphous grain boundary (AGB). The additive of small percentage of fullerene into precursors during sintering can significantly reduce crushed amorphous-like nanodomains in diamond nanocrystals, leading to the formation of thin AGB. Such sintered NPD exhibits a significant hardness and fracture toughness enhancement, exceeding that of single crystal diamonds. These atomistic simulations show that upon straining the plastic deformation, crack initiation and propagation in NPD is AGB thickness dependent, and thin AGB can reduce crack nucleation and block crack propagation, well explaining the experimental observations. This study indicates that grain boundary modulation provides a promising approach for rational designs of high-performance superhard materials with desired high strength.     

基于轻量级深度神经网络的环境声音识别

针对传统卷积神经网络（CNN）模型存在大量冗余参数的问题，提出了两个基于SqueezeNet核心结构Fire模块的轻量级网络模型Fnet1和Fnet2。之后结合移动端分布式数据采集和处理的特点，在Fnet2模型基础上，依据Dempster-Shafer（D-S）证据理论将Fnet2与深度神经网络（DNN）融合，提出新的网络模型FnetDNN。首先，建立一个具有四层卷积层的神经网络Cent作为基准，以梅尔倒谱系数（MFCC）作为特征输入来对比分析Fnet1、Fnet2和Cent的网络结构特点、计算量、卷积核参数数量及识别准确率，结论是Fnet1仅使用Cnet参数数量的10.3%就可达到86.7%的分类准确率；然后，将MFCC与全局特征向量输入到FnetDNN模型中，使得该模型的识别准确率提高到了94.4%。实验结果表明，Fnet网络模型不仅可以压缩冗余参数，还可以与其他网络相融合，具备模型扩展能力。     

基于支撑向量机的支票手写体数字识别系统

该文提出了一种基于支撑向量机的支票手写体数字识别系统。支撑向量机方法,由于建立在结构风险最小化的基础上,而不仅仅使经验风险达到最小,从而突破了传统模式识别方法的局限,使得基于支撑向量机的分类器具有较好的推广能力。文中重点阐述了支撑向量机的基本原理和集成在该系统中的重要的处理模块,实验结果表明该系统具有较高的识别率和较强的实用性。     

钒钛磁铁精矿一步煤基直接还原—熔分的研究

以煤为还原剂、氢氧化钠为添加剂,采用一步煤基直接还原—熔分工艺对国内某钒钛磁铁精矿进行研究。考察温度、时间、氢氧化钠添加量和配碳量对还原—熔分效果、铁回收率和钒迁移的影响。结果表明,在温度1 300℃、时间4h、摩尔比C/Fe=2.6,氢氧化钠添加量50%的最优条件下,铁回收率为99.8%,渣中钒含量为1.34%。渣主要由Na_6Al_4Si_4O_(17)、CaTiO_3、NaAlSiO_4等组成,钒主要赋存在含钛渣相中,金属铁相中几乎无钒的存在。