Multilayer Si@SiOx@void@C anode materials synthesized via simultaneously carbonization and redox for Li-ion batteries

In the development of high-performance lithium-ion batteries (LIBs), the composition and structure of electrode materials are of critical importance. Silicon has a theoretical specific capacity 10 times that of graphite, nonetheless, its application as an anode material confronts challenge as it undergoes huge volume change and pulverization amidst the alloying and dealloying processes. Herein, a novel method to prepare a multilayer Si-based anode was proposed. Three layers, SiO₂, nickel and triethylene glycol (TEG), were coated successively on Si nanoparticles, which served respectively as the sources of SiO_x, sacrificial templates and carbon. Nickel can not only serve as a hollow template, but also play a catalytic role, which makes carbonization and redox reactions occur synchronously under a mild condition. Amid the carbonization process of TEG at 450 °C, several-nm-thick SiO₂ layer can react with the as-derived carbon to form a silicon suboxides (SiO_x (0 < x < 2)) intermedium layer. After removing the nickel template, a micro-nano scaled Si@SiO_x@void@C with conformal multilayer-structure can be obtained. The BET specific surface area and pore volume of powders were increased dramatically because of the derivation of abundant voids, which can not only buffer the swelling effect of silicon, but also provide richer ionic conductivity. The as-assembled half-cell with Si@SiOx@void@C as the anode material possesses high capacity (～1000 mAh g^?1 at 3 A g^?1), long cycle life (300 cycles with 77% capacity retention) and good rate performance (558 mAh g^?1 at 5 A g^?1).     

一种新的多层前馈网络学习算法

基于权值解耦思想，本文提出一种新的多层前馈网络学习算法，该学习算法的收敛速度比ＰＢ学习算法快，且比并行递推预测误差学习算法有更好的数值稳定性，文中论述了它与别的学习算法之间关系，并选取神经网络对非线性系统建模的例子进行仿真，说明新算法的有效性。     

An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition

A hybrid model based on the combination of an orthogonal Gaussian mixture model (OGMM) and a multilayer perceptron (MLP) is proposed in this paper that is to be used for Chinese bank check machine printed numeral recognition. The combination of MLP with OGMM produces a hybrid model with high recognition accuracy as well as an excellent outlier rejection ability. Experimental results show that the proposed model can satisfy the requirements of Chinese bank check printed numeral recognition where high recognition accuracy, high processing speed, and high reliability are needed. Correspondence to: Hui Zhu     

提高网络应用性能的网络结构设计

针对网络工程应用性能问题，提出了基于遗传算法的前馈多层神经网络结构自动设计方法（genetic multilayer neural network,GNNN)。该方法依据网络综合性能指标（泛化能力，学习精度，学习效率）优势趋势进行网络结构优化设计。该方法具有训练速度快，适应性强的特点，对提高网络的应用性能有可取之处。仿真结果表明该方法是可行的。     

COM+事件模型在多层结构中的应用

主要介绍了COM 的基于发布/订阅的松耦合事件模型结构及其技术特点，并通过对比COM的基于连接指针的紧耦合事件模型，指出COM紧耦合事件模型存在的不足之处，从中说明COM 事件模型在多层结构的软件应用中是一种更先进和实用的事件解决方案。     

微波集成电路技术—回顾与展望

半个多世纪来 ,微波电路技术经历了从分立电路、两维微波集成电路、三维微波集成电路等阶段。在回顾这一发展历程后 ,介绍多层微波集成电路和三维微波集成电路。阐述其产生背景、关键技术及发展方向。文中将涉及微加工技术以及从直流至射频的多芯片全集成新概念。瞻望二十一世纪前景。     

Tape Cast Multilayer Composite of Nano Zirconia with High Toughness

During the last decade, worldwide attention of researchers has focused on nano-ceramic composites with superior mechanical behavior and improved reliability for structural applications. Here we report the development of a multi-layer composite (MLC) of tape cast nano zirconia with high failure energy. The MLC samples were fabricated by thermocompression of green tapes prepared from 3 mole % yttria stabilized zirconia (3-YSZ) powder with a primary crystallite size of 27 nm. Depending on the number of layers, the MLC samples exhibited failure energy (238.97 KJm^-3) more than two times higher than that of the single tape (≈107 KJm^-3) with a reasonably high bi-axial flexural strength (≈630 MPa), high hardness (≈ 13 GPa at 49 N), and indentation fracture toughness nearly four times as high as that of the single tape. In addition, these MLC materials showed the presence of a R-curve behavior.     

人工神经网络在板形缺陷识别中的应用

宝钢冷轧板形控制采用ＣＶＣ技术，在板形缺陷识别方面存在一些问题，为此，开展了冷轧板形缺陷识别中采用人工神经网络的研究工作。从神经网络的工作原理、拓扑结构、学习过程，工作过程及用于板形缺陷识别中的实际效果等方面进行阐述。     

硅基多层布线集成组装技术

本文叙述了多芯片组件和多层布线集成组装技术的研究和进展,介绍了硅基多层布线集成组装技术的特点和设计考虑,扼要地叙述了硅基多层布线的制造工艺,并讨论了工艺中所出现的问题。     

Three-dimensional analytical calculation of induction machines with multilayer rotor structure in cylindrical coordinates

An analytical three-dimensional solution of the field problem of induction machines with multilayer rotor structure is presented in cylindrical coordinates. The curvature of the machine is no longer neglected as against the known solution in cartesian coordinates. This results in much higher accuracy for machines with a large air-gap width or small bore radius. In addition, the analysis is performed for an arbitrary number of rotor layers and for arbitrary speed of each rotor layer.