硅栅CMOS集成电路测试图形的研究

本文介绍了用于硅栅CMOSIC园片级工艺诊断和可靠性监控的微电子测试图形。重点论述了(1)用于检测漏、源及多晶硅薄层电阻和因扩散及腐蚀引起的横向变化量的组合结构,(2)用于监测CMOSIC动态参数的结构设计及其对工艺的评价。     

STUDY ON POLYPYRROLE-VISCOSE CONDUCTING FIBER

The conductivity of Polypyrrole-viscose conducting fiber prepared with author's method can be shown up to as high as 2.106x10~(-2) S/cm. The main factors influencing the conductivity are the concentration of FeCl_3 used as dopant and initiator, the treatment time of viscose fiber as base material in FeCl_3 solution, temperature and polymerization time. It is found that the orientation and crystallization degree of viscose fiber keep constant before and after conducting treatment and the mechanical properties of conducting fiber is the same as that of base material. In addition, the distribution of polypyrrole in viscose fiber, and its effect on the conductivity were investigated in details by TEM.     

球电流壳磁场的计算

计算的结果表明，球壳内的磁场是均匀的，可用此方法在一定范围内获得均匀磁场．     

机械专业教学改革初探

为适应新时期特区建设的发展要求 ,培养合格人才 ,机械专业必须深化教学改革。本文结合我校办学实践 ,提出实施机械专业改革的指导思想、教学体系及其落实措施。     

结构在地震作用下的损伤评估方法

建筑结构应该能够承受一定地震运动的作用，同时也应该允许其产生一定的损伤。对于结构在地震作用下的损伤评估有多种的方法。本文将分别对从累积损伤方面、变形方面、变形和累积损伤的总和方面、刚度退化方面得到的损伤模型的特点进行评述。     

新型锚喷支护结构在萍乡矿区的应用

根据壳体结构的力学原理设计地下新型网壳喷层结构，大幅度提高喷层的抗弯能力，同时使喷层整体具有一定的可缩性，能承受强大变形地压及采动荷载，达到用较少材料又提高喷层支撑能力与让压的目标，较好解决了加强支撑、喷层合理配筋、简化施工作业、降低材料消耗等问题，在萍乡软岩巷道中进行了工业性试验。     

《左传》人物祸福预言类型考论

将<左传>中所记载的人物祸福预言,作出分类与考论,将其分为形貌,言语行为、梦境、卜筮、灾异、天象、歌谣(谶语)六类,并通过此类预言对其所具有的社会思想价值作出分析与评论.     

Li3Sn的电子和几何结构:第一原理计算

CuSn化合物在近来的锂电池负极材料研究中引起了相当的重视.使用基于混合基表示的第一原理赝势法,研究了Li插入CuSn完全替代了Cu而且占满所有间隙位置后形成的Li3Sn的电子与几何结构性质.给出了其"结构～能量"关系图,电子能带结构,电子态密度以及电荷密度分布等.     

Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.