Automatic Complex for a Study of the Characteristics of Hard Magnetic Materials

An automatic setup for a study of the magnetic characteristics of hexagonal oxide ferrimagnetic materials, which uses a technique of determining anisotropy fields by the singular-point detected method, is described.     

凝析气藏物质平衡方程的改进与应用

为了提高凝析气藏油气采收率，通常采用目前最有效的循环注气保持地层压力的开采方式。在此开采方式下，直接采用气藏物质平衡方程进行地质储量计算将出现很大偏差。针对这种情况，将气藏物质平衡方程进行了改进，得到凝析气藏在注气开发方式下的物质平衡方程。     

On-line learning delivery decision support system for highlyproduct mixed semiconductor foundry

A production learning system (PLS) based on the tool model was constructed as a decision support and real-time information update system to forecast the cycle time. A tool model includes a waiting model and a processing model. Each of the waiting and processing models uses a backpropagation neural network to establish the relationship between the input and output (time) of the model. Hence, cycle time estimation, tool group move and confirm line item performance (CLIP) value can be obtained based on the memory stored in the neural network. The result shows that the forecasting ability of the PLS has an error rate below 8% on average     

自生法制备纳米-微米颗粒增强B4C基复合材料

采用原位自生法设计并制备了一种新型纳米-微米颗粒增强B4C基复合材料:Al2O3-TiB2/B4C.理论计算和实验证明,可在相对较低的温度(1950℃)下成功实现预期的原位反应,得到完全致密化的复合材料.复合材料中生成细小均匀的微米级Al2O3和TiB2颗粒增强相,并在B4C晶粒内部形成Al2O3纳米颗粒增强相,得到晶间/晶内复合增强的组织结构.复合材料具有优异的综合力学性能,维氏硬度值达到28.8GPa,断裂韧性高达8.27 MPam1/2,耐磨性能大幅提高,K IC3/4*HV1/2达到26,是一种很有发展潜力的复合材料.还探讨了该种纳米-微米颗粒增强复合材料的韧化机制.     

纳米软磁铁氧体材料液相合成技术

随着电子产品向小型化、轻量化和高性能化方向发展以及应用领域的不断拓展,作为一新材料,纳米软磁铁氧体粉体的制备技术成为国际研究的热点之一。介绍了纳米软磁性铁氧体料的液相合成技术,综述了近年来具有尖晶石结构的纳米软磁性铁氧体材料的液相制备方法。中包括:化学共沉淀法、水热法、溶胶-凝胶法、喷雾热解法、微乳液法、相转化法、超临界法冲击波合成法和微波场下湿法合成。并对纳米软磁铁氧体材料液相合成技术的发展予以展望。     

Hybrid multilevel/multigrid potential preconditioner for fast finite element modeling

A robust hybrid multilevel/multigrid potential preconditioner is introduced for the fast and robust finite-element modeling of electromagnetic structures. The proposed preconditioning process combines the advantages of the hierarchical multilevel preconditioner and the nested multigrid potential preconditioner into a novel preconditioner with superior computational versatility. Numerical experiments from the application of the new preconditioner to the finite-element analysis of microwave devices demonstrate its superior numerical convergence and efficient memory usage.     

高效率窄线宽光纤激光器

本文报道了一种环形腔掺饵光纤激光器，得到了泵浦效率高达22.6%，输出线宽小于0.1nm的激光输出。     

Morphological compression of grayscale images of text

A new method for compression of grayscale images containing a small number of graphical elements is proposed. The method is characterized by high compression ratios, small losses, and good readability of the processed images. It is based on morphological methods of image analysis and could be used to store images of documents produced by fax machines, scanners, etc. Igor I. Falomkin. Born 1979. Graduated from the Faculty of Physics, Moscow State University, in 2001. Scientific interests: image analysis and recognition, analysis and interpretation of experimental data.