硫硒化镉大红釉的研究

综述了硫硒化镉大红釉的研究状况，分析了各种充硒化镉釉制备方法的优缺点。提出了独特的硫硒化镉系列色釉的制备工艺－－多熔块反应法。     

La2-xSrxNiO4薄膜的制备及氧敏特性的研究

本实验采用无机盐为原料的溶胶－凝胶法制备了复合氧化物La2-xSrxNiO4薄膜，研究了它的阻温特性和氧敏特性，并采用XRD，SEM，AFM（原子力显微镜）等对该薄膜的结构进行了表征。     

(1-x)NBT-xBaTiO3系陶瓷材料制备过程中极化条件的研究

选取部分样品，采用不同的极化电压、极化温度和保温时间，测试其压电性能，确定最佳的极化工艺制度。     

(1-x)NBT-xBaTiO3系陶瓷材料制备过程中烧成工艺制度的研究

选取BT6组成点,采用不同的预合成温度、烧结温度和保温时间制备样品,研究各样品的体积密度、线收缩率、晶粒发育状况和压电性能,确定最佳的烧成工艺制度。     

PMS-xPNW-(0.95-x)PZT压电陶瓷材料的温度稳定性

采用传统固相法制备了Pb(Mn1/3Sb2/3)0.05(Ni2/3W1/3)x(Zr0.495Ti0.505)0.95-xO3(PMS-xPNW-(0.95-x)PZT)四元系压电陶瓷,研究了NiW含量对PMS-xPNW-(0.95-x)PZT体系的相组成、微观结构、机电性能、温度稳定性的影响.结果表明随着NiW量的增加,物相中四方相含量逐渐减少,三方相含量逐渐增大;适量的掺杂使PMSZT频移变小;机电耦合系数Kp,K31的温度稳定性得到改善;并且提高了体系的机电性能.     

Numerical approximation of the Ginzburg-Landau equation with memory effects in the dynamics of phase transitions

We consider the out-of-equilibrium time evolution of a nonconserved order parameter using the Ginzburg-Landau equation including memory effects. Memory effects are expected to play important role on the nonequilibrium dynamics for fast phase transitions, in which the time scales of the rapid phase conversion are comparable to the microscopic time scales. We consider two numerical approximation schemes based on Fourier collocation and finite difference methods and perform a numerical analysis with respect to the existence, stability and convergence of the schemes. We present results of direct numerical simulations for one and three spatial dimensions, and examine numerically the stability and convergence of both approximation schemes.     

Applications of critical temperature in minimizing functions of continuous variables with simulated annealing algorithm

The simulated annealing (SA) algorithm has been recognized as a powerful technique for minimizing complicated functions. However, a critical disadvantage of the SA algorithm is its high computational cost. Therefore, it is the goal of this paper to investigate the use of the critical temperature in SA to reduce its computational cost. This paper presents a systematic study of the critical temperature and its applications in the minimization of functions of continuous variables with the SA algorithm. Based on this study, a new algorithm was developed to exploit the unique feature of the critical temperature in SA. The new algorithm combines SA and local search to determine global minimum effectively. Extensive tests on a variety of functions demonstrated that the new algorithm provides comparable performance to well-established SA techniques. Furthermore, the new algorithm also improves the determination of the starting temperature for the SA algorithm. The results obtained in this study are expected to be useful for improving the efficiency of SA algorithms, and for facilitating the development of temperature parallel SA algorithms.     

GDF v2.0, an enhanced version of GDF

An improved version of the function estimation program GDF is presented. The main enhancements of the new version include: multi-output function estimation, capability of defining custom functions in the grammar and selection of the error function. The new version has been evaluated on a series of classification and regression datasets, that are widely used for the evaluation of such methods. It is compared to two known neural networks and outperforms them in 5 (out of 10) datasets.

Program summary

Title of program: GDF v2.0Catalogue identifier: ADXC_v2_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADXC_v2_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 98 147No. of bytes in distributed program, including test data, etc.: 2 040 684Distribution format: tar.gzProgramming language: GNU C++Computer: The program is designed to be portable in all systems running the GNU C++ compilerOperating system: Linux, Solaris, FreeBSDRAM: 200000 bytesClassification: 4.9Does the new version supersede the previous version?: YesNature of problem: The technique of function estimation tries to discover from a series of input data a functional form that best describes them. This can be performed with the use of parametric models, whose parameters can adapt according to the input data.Solution method: Functional forms are being created by genetic programming which are approximations for the symbolic regression problem.Reasons for new version: The GDF package was extended in order to be more flexible and user customizable than the old package. The user can extend the package by defining his own error functions and he can extend the grammar of the package by adding new functions to the function repertoire. Also, the new version can perform function estimation of multi-output functions and it can be used for classification problems.Summary of revisions: The following features have been added to the package GDF:

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Multi-output function approximation. The package can now approximate any function . This feature gives also to the package the capability of performing classification and not only regression.

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User defined function can be added to the repertoire of the grammar, extending the regression capabilities of the package. This feature is limited to 3 functions, but easily this number can be increased.

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Capability of selecting the error function. The package offers now to the user apart from the mean square error other error functions such as: mean absolute square error, maximum square error. Also, user defined error functions can be added to the set of error functions.

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More verbose output. The main program displays more information to the user as well as the default values for the parameters. Also, the package gives to the user the capability to define an output file, where the output of the gdf program for the testing set will be stored after the termination of the process.

Additional comments: A technical report describing the revisions, experiments and test runs is packaged with the source code.Running time: Depending on the train data.     

金属间化合物Sm_3(Fe_(1-x)V_x)_(29)的结构及其微观机制研究

利用X射线衍射,金相显微镜,能谱分析以及差示扫描量热(DSC)等手段对金属间化合物Sm3(Fe1-xVx)29(x=0.01,0.03,0.05,0.08,0.1)的结构及其微观机制进行了研究.结果表明,金属间化合物Sm3(Fe1-xVx)29(x=0.01,0.03,0.05,0.08,0.1)的结构均为3:29型结构,并且随V含量增加,金属间化合物Sm3(Fe1-xVx)29的晶格常数和晶胞体积V均呈减少趋势.当x>0.05时,金属间化合物Sm3(Fe1-xVx)29中的杂质相明显呈现出来.随着V含量的增加,居里温度(TC)呈单调上升趋势.