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Wu, Zhen,Sun, Luchao,Wang, Jingyang The Korean Ceramic Society 2018 한국세라믹학회지 Vol.55 No.6
High-temperature thermal insulation materials challenge extensive oxide candidates such as porus $SiO_2$, $Al_2O_3$, yttria-stabilized zirconia, and mullite, due to the needs of good mechanical, thermal, and chemical reliabilities at high temperatures simultaneously. Recently, porous rare earth (RE) silicates have been revealed to be excellent thermal insulators in harsh environments. These materials display attractive properties, including high porosity, moderately high compressive strength, low processing shrinkage (near-net-shaping), and very low thermal conductivity. The current critical challenge is to balance the excellent thermal insulation property (extremely high porosity) with their good mechanical properties, especially at high temperatures. Herein, we review the recent developments in processing techniques to achieve extremely high porosity and multiscale strengthening strategy, including solid solution strengthening and fiber reinforcement methods, for enhancing the mechanical properties of porous RE silicate ceramics. Highly porous RE silicates are highlighted as emerging high-temperature thermal insulators for extreme environments.
A Novel Algorithm for Aggregating the Topological Nodes in Web GIS Network Management
Min Huang,Likun Zhu,Pengfei Liu,Jingyang Wang,Liwei Guo 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
The problems of the icons covering each other and slow data loading are very challenging when the GIS technology is applied to load a large number of topological nodes. A novel algorithm for aggregating the topological nodes in GIS based on the hierarchical clustering algorithm is presented in this paper. Comparison with the hierarchical clustering algorithm and partitioning algorithm is explored. In addition, the implementation of the algorithm is derived. The experiment demonstrates that the algorithm solved the problems of the icons covering each other and slow data loading effectively, realized the aggregation of the topological nodes preferably, and presented the distributed trend of the topological nodes and the topology relation between each other in the topology. The experimental results verify the effectiveness of the method.
Jing Yang,Wang Xingyuan,Zhou Tingting,Wei Liangjun,Guo Meiling,Liu Yanan,Sun Xiaoqi,Wang Yanjie 한국탄소학회 2024 Carbon Letters Vol.34 No.3
This paper presents the construction and characterization of an amperometric immunosensor based on the graphene/gold nanoparticles (AuNPs/GO) nanocomposite for the detection of the bladder cancer biomarker, apolipoprotein A1 (Apo-A1). The morphological analysis of the AuNPs/GO nanocomposite demonstrated an almost spherical shape of AuNPs and the successful coverage of their surface by graphene oxide. An increased G peak and decreased D peak after the association of AuNPs with GO, implied a reduction in graphene defects. The X-ray photoelectron spectroscopy (XPS) indicated a significant decrease in the quantity of oxygen-containing functional groups in the AuNPs/GO nanocomposite, as compared to the original GO. Furthermore, the developed sensor demonstrated commendable sensitivity and selectivity, with a wide linear range for Apo-A1 detection. Importantly, the immunosensor exhibited remarkable stability over a period of 14 days, signifying its potential for practical applications.