ZnO基薄膜晶体管的研究

ZnO是一种宽带隙的光电半导体材料,能应用于很多领域,如可用在压敏变阻器、声表面波器件、气敏元件、紫外光探测等。ZnO也可以作为有源层应用于薄膜晶体管(TFT)中。ZnO基薄膜晶体管具有以下突出优势:对于可见光部分平均具有80%以上的透射率,迁移率可以高达36cm2/V·s,开/关电流比大于106,可在较低温度(甚至室温)下制备。基于这些优点,ZnOTFT具有取代有源矩阵液晶显示器中常规a-SiTFT的趋势。同时对ZnOTFT的研究也推动了透明电子学的发展。本文阐述了ZnOTFT优越的电学性能,指出了其目前尚存在的不足,并对其发展前景进行了展望。     

硫化物预处理方法研究及测定中的质量保证

针对水和废水中硫离子的特点,设计制作了测定硫化物的酸化—吹气—吸收预处理装置,并验证了该装置对硫化物的回收效果,简化了原来的预处理方法。总结分光测定过程中注意的若干事项,确定了最佳实验条件,使该方法具有更准确、简便、快速的特点。     

Al2O3陶瓷激光铣削试验研究

采用Nd∶YAG脉冲激光器对Al2 O3陶瓷进行铣削加工试验。系统研究了工艺参数对铣削量和铣削面质量的影响规律 ,并利用优化的铣削工艺对Al2 O3陶瓷进行多种形状的铣削加工。     

Understanding silica-supported metal catalysts: Pd/silica as a case study

Supported metal catalysts, particularly noble metals supported on SiO₂, have attracted considerable attention due to the importance of the silica–metal interface in heterogeneous catalysis and in electronic device fabrication. Several important issues, e.g., the stability of the metal–oxide interface at working temperatures and pressures, are not well-understood. In this review, the present status of our understanding of the metal–silica interface is reviewed. Recent results of model studies in our laboratories on Pd/SiO₂/Mo(1 1 2) using LEED, AES and STM are reported. In this work, epitaxial, ultrathin, well-ordered SiO₂ films were grown on a Mo(1 1 2) substrate to circumvent complications that frequently arise from the silica–silicon interface present in silica thin films grown on silicon.     

基于虚拟仪器的现代温度检测系统的研究

对一个基于虚拟仪器的现代温度检测系统进行了系统的论述，并给出了具体实现方案及结果。     

A new detection algorithm (NDA) based on fuzzy cellular neural networks for white blood cell detection.

White blood cell detection is one of the most basic and key steps in the automatic recognition system of white blood cells in microscopic blood images. Its accuracy and stability greatly affect the operating speed and recognition accuracy of the whole system. But there are only a few methods available for cell detection or segmentation due to the complexity of the microscopic images. This paper focuses on this issue. Based on the detailed analysis of the existing two methods--threshold segmentation followed by mathematical morphology (TSMM), and the fuzzy logic method--a new detection algorithm (NDA) based on fuzzy cellular neural networks is proposed. NDA combines the advantages of TSMM and the fuzzy logic method, and overcomes their drawbacks. With NDA, we can detect almost all white blood cells, and the contour of each detected cell is nearly complete. Its adaptability is strong and the running speed is expected to be comparatively high due to the easy hardware implementation of FCN. Experimental results show good performance.     

弯曲性分叉河道中污染物扩散性的初步研究

弯曲性分叉河道中水流特征复杂,对污染物扩散有很大影响。为了定量分析其水流特征对污染物扩散的影响,采用有限元方法求解弯曲性分叉河道中的污染物扩散数学模型,研究其中污染物扩散的状况。主要针对河道回流、绕流对污染物扩散的影响进行了详细数值模拟计算,并分别给出了可视化结果及平均的扩散距离。计算结果表明:边界层稍微减弱污染物的扩散,弯道分离使污染物扩散呈现多向扩散,而回流和绕流尾迹区使污染物很难扩散,从而有利于泄漏污染物的收集和集中治理。     

炼油厂碱性污水生物催化氧化预处理工艺研究

在对炼油厂碱性污水水质分析的基础上,提出采用生物催化氧化工艺对碱性污水进行预处理。试验结果表明,在水力停留时间为4 h,曝气量(标准状态)为8 m3／h的条件下,碱性污水的硫化物去除率可达90％以上,出水中的硫化物平均值为15．2 mg/L,CODCR、酚和油的去除率分别为47．5％,44．1％,50．8％,其中CODCR体积负荷为3．85 kg／(m3·d),是传统生化处理的10倍, 达到了污水预处理的目的。