Synthesis of PS/Ag asymmetric hybrid particles via phase separation and self-assembly

This article presents a facile approach to preparation of polystyrene/silver （PS/Ag） asymmetric hybrid par- ticles. In this method, polystyrene/polyglycidyl methacrylate （PS/PGMA） Janus particles were synthesized via internal phase separation triggered by evaporation of dichloromethane （DCM） from PS/PGMA/DCM- in water emulsion droplets. Then, the Janus particles were aminated and sequentially carboxylated to obtain PS/PGMA-NH2 and PS/PGMA-COOH particles. Ag＋ self-assembled on the surface of PGMA hemi- sphere of the functionalized PS/PGMA particles by coordinating with amine/carboxyl. PS/Ag asymmetric hybrid particles with 7.29 wt% of Ag were obtained by reduction of Ag＋, Scanning electron microscopy, energy-dispersive X-ray spectroscopy and transmission electron microscopy results confirmed that Ag was asymmetrically distributed on the surface of polymer particles.     

Embedding copper nanoparticle-anchored conductive nano-blocks in polyelectrolyte

Conductive carbon nanotubes （CNTs） or alternatively polyaniline （PANI） nano-blocks was introduced into aqueous solutions of polyvinyl alcohol （PVA） and copper （II） salt, to assist the reduction of copper （II） ions and the anchoring of the resulting copper nanoparticles onto the conductive blocks. The mixture solutions of nano-blocks, copper （lI） salts and PVA were spin-coated onto the cathode surface, forming swollen cathode films （SCFs）. The copper （II） ions in the film assembled onto the surfaces of the conductive blocks and were then reduced under an appropriate voltage. It is important that the copper nanoparticles grew only on the surfaces of the conductive blocks. PVA which acted as the matrix of the composites played a role in stabilizing the resulting copper nanoparticles. Morphologies of these polymeric composite films were studied by various characterization methods. Moreover, the mechanism of migration of copper （II） ions, the formation of these polymeric composites, and the overall procedure were investigated in detail.     

不同粒度SiC颗粒低温制备SiC泡沫陶瓷的性能

以SiC陶瓷前驱体聚碳硅烷(polycarbosilane,PCS)为粘结剂、SiC微粉为填料、聚氨酯海绵为模板,低温制备出了SiC泡沫陶瓷.研究了SiC颗粒粒度和PCS含量对SiC泡沫陶瓷线收缩率、体积密度、微观结构与抗弯强度的影响.确定了不同粒度SiC颗粒制备泡沫陶瓷的最佳烧成温度.结果表明,随SiC颗粒粒度与PCS含量的增加泡沫陶瓷的线收缩率增大、体积密度降低;泡沫陶瓷的抗弯强度随SiC颗粒粒度的增大而降低;颗粒粒度小于1μm时,最佳烧成温度为1200℃,颗粒粒度大于1μm时,最佳烧成温度为1100℃;PCS在1100℃与1200℃热解可得到β-SiC晶粒,其晶粒尺寸为12.2 nm与19.6 nm.     

不同热交联气氛对含氟聚芳醚近红外光学吸收的影响

光波导材料对于光通信及光互联产业的发展起着至关重要的作用,例如可用来制作波分复用系统中的光衰减器,热光开关,阵列波导光栅复用／解复用器,光滤波器等．聚合物材料由于其容易加工,与无机材料相比有相对较低的制作成本,而从众多光波导材料中脱颖而出．目前光通讯材料与器件的研究应用主要集中在1．3和1．55μm两个波长上,然而随着波分复用(WDM)技术的发展,     

Synthesis and Structure of Dimeric β-Diketiminato Co（ Ⅱ ） Chloride Complex

Recently, late-transition-metal complexes have been extensively used as both inorganic and organometallic catalysts. Some complexes have been developed as the novel olefin polymerization catalysts and copolymerization catalysts for ethylene and polar comonomers due to their lower oxophilicity and presumed greater functional tolerance.     

纳米SiO2表面上的聚对苯二甲酸丁二醇酯预聚物接枝改性

纳米SiO2表面上的聚对苯二甲酸丁二醇酯预聚物接枝改性;纳米粒子; 表面改性;接枝; 聚对苯二甲酸丁二醇酯     

Assembly and Characterization of Rare-earth-containing Polyoxometalate [Eu （P2Mo17O61）2]^17- and Poly（allylamine hydrochloride） Multilayer Films

The ultrathin multilayer films of rare-earth-containing polyoxometalate cluster K17[Eu(P2Mo17O61)2](EuPMo) and poly(allylamine hydrochloride) (PAH) have been prepared by the Layer-by-Layer(LbL) selfassembly method. The photoluminescent behavior of the films investigated at room temperature shows the Eu^3 characteristic emission pattern of ^5Do→^7FJ(J=1—4). The occurrence of the photoluminescent activity confirms the potential of creating luminescent multilayer films with polyoxometalates (POMs).     

N-取代丙烯酰胺的等离子体引发聚合及聚合物性能研究

温敏树脂;N取代丙烯酰胺的等离子体引发聚合及聚合物性能研究     

数学建模中的高维数据挖掘技术优化研究

高维数据挖掘由于特征空间占用开销较大,挖掘的复杂度较高,挖掘精度不高,为了提高对高维数据挖掘的准确性能,提出一种基于相空间重构和K-L变换特征压缩的高维数据挖掘数学建模方法。采用集成学习技术,对高维数据信息流进行相空间重构处理,考虑类间的数据不平衡性,求得高维数据的关联维特征参量,根据数据的链距离进行稀疏性融合,计算高维数据流模型的最大Lyapunove指数谱,根据谱分析方法实现数据聚类,对聚类后的数据采用K-L特征压缩方法进行降维处理,降低数据挖掘的内存及计算开销。仿真结果表明,采用该方法进行高维数据挖掘,数据挖掘的准确概率较高,占用内存消耗较少,计算开销较小。