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| 1 | EXPERIMENTAL STUDY OF ENHANCED HEAT TRANSFER BY FLOW-INDUCED VIBRATION OF ELASTIC TUBE BUNDLES显示文摘A new concept of heat t ransfer enhancement by flow-induced vibration was put forward, and a novel heat transfer element called elastic tube bundles was designed. The experimental inv estigation was performed on its characteristics of flow-induced virbration in o ut-tube or in-tube flow. Under the conditions of fixed heat flux and steam-wa ter heat transfer, the regularity of heat transfer enhancement by flow-induced vibration was examined. | Tian, Maocheng Cheng, Fei Cheng, Lin Cao, Bingyang | 2000 | Journal of Hydrodynamics2000，12，3： | 4 |
| 2 | Biomineralized polymer matrix composites for bone tissue repair:a review显示文摘Bone defects caused by trauma, infection or bone tumor resection, are highly prevalent. A small number(5%–10%) of these injuries fail to heal due to non-union and require surgical intervention. Currently, the principal treatment options for these defects are autografts, allografts, xenografts or synthetic grafts. The main problems associated with these therapies include pain,infection and donor site morbidity. Bone tissue engineering is a diverse field that focuses on the regeneration of bone by combining cells, scaffolds, growth factors and dynamic forces. There have been many recent studies utilizing biomineralized polymer matrix composites which mimic the natural structure of bone. The principal focus of this review is on recent advances in the synthesis of various types of biomineralized polymer matrix composite. Examples of the biomineralization of naturallyderived and synthetic polymers widely used for bone engineering are also summarized. | Lin Zhong Ying Qu Kun Shi Bingyang Chu Minyi Lei Kangkang Huang Yingchun Gu Zhiyong Qian | 2018 | Science China Chemistry2018，61，12： | 4 |
| 3 | A Differential Game Based Approach Against Objective Function Attack in Cognitive Networks显示文摘We study the problem of defense strategy against Objective function attack(OFA) in Cognitive networks(CNs), where the network can be operated at the optimal state by adapting the parameters of its objective function. An OFA attacker can disrupt the parameter adaptation by interfering measures, which results in some operating parameters of the objective function deviating from their optimal settings. We first model the interactive process between the OFA attacker and defense system using differential game theory, and propose a defense strategy by introducing a new metric, namely, threat factor. Then,we obtain the optimal defense strategy by proving the existence of the saddle point of the proposed model. Moreover,this defense strategy is scale-free such that it can conquer a large number of OFAs in a decentralized way. Finally, we conduct extensive simulations to show that the proposed approach is effective. | FENG Guangsheng LIN Junyu ZHAO Qian WANG Huiqiang LYU Hongwu ZHAO Xiaoyu HAN Jizhong LI Bingyang | 2018 | Chinese Journal of Electronics2018，27，4： | 2 |
| 4 | Optimization of Ultrasonic Extraction Process of Oenanthe benghalensis Polysaccharide by Orthogonal Test显示文摘[Objectives] The research aimed to explore extraction method of Oenanthe benghalensis polysaccharide,and determine the optimal process of its ultrasonic extraction by orthogonal test. [Methods] Phenol-sulfuric acid method was used to determine polysaccharide's content. Based on single-factor experiment and orthogonal test,the influences of solid-liquid ratio( A),ultrasonic extraction temperature( B),ultrasonic power( C) and ultrasonic time( D) on extraction rate of O. benghalensis polysaccharide were studied,and the optimal process of ultrasonic extraction was selected. [Results] The influence order of solid-liquid ratio( A),ultrasonic extraction temperature( B),ultrasonic power( C) and ultrasonic time( D) on extraction rate of O. benghalensis polysaccharide was A > D > B > C. Via the orthogonal test,it was determined that the optimal extraction condition of O. benghalensis polysaccharide was as below: solid-liquid ratio 1∶ 25( g/mL),extraction temperature 60℃,extraction power 80 W,extraction time 40 min. Under the condition,extraction rate of O. benghalensis polysaccharide was9. 80%. [Conclusions] The process could provide the reference basis for extracting and producing O. benghalensis polysaccharides. | Liufu LU Aiyue LUO Bingyang LIN Zhenlian XIE Guangyu GAN Xiuzhen HUANG Zhidong LEI Shimei CHEN Suoyi HUANG | 2018 | Medicinal Plant2018，9，5： | 1 |
| 5 | Recent research progress of master mold manufacturing by nanoimprint technique for the novel microoptics devices显示文摘The consumer demand for emerging technologies such as augmented reality(AR),autopilot,and three-dimensional(3D)internet has rapidly promoted the application of novel optical display devices in innovative industries.However,the micro/nanomanufacturing of high-resolution optical display devices is the primary issue restricting their development.The manufacturing technology of micro/nanostructures,methods of display mechanisms,display materials,and mass production of display devices are major technical obstacles.To comprehensively understand the latest state-of-the-art and trigger new technological breakthroughs,this study reviews the recent research progress of master molds produced using nanoimprint technology for new optical devices,particularly AR glasses,new-generation light-emitting diode car lighting,and naked-eye 3D display mechanisms,and their manufacturing techniques of master molds.The focus is on the relationships among the manufacturing process,microstructure,and display of a new optical device.Nanoimprint master molds are reviewed for the manufacturing and application of new optical devices,and the challenges and prospects of the new optical device diffraction grating nanoimprint technology are discussed. | Yuhang LIU Jianjun LIN Zuohuan HU Guoli GAO Bingyang WANG Liuyi WANG Zhiyuan PAN Jianfei JIA Qinwei YIN Dengji GUO Xujin WANG | 2022 | Frontiers of Materials Science2022，16，3： | 0 |
| 6 | Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table显示文摘Existing machine learning potentials for predicting phonon properties of crystals are typically limited on a material-to-materialbasis, primarily due to the exponential scaling of model complexity with the number of atomic species. We address this bottleneckwith the developed Elemental Spatial Density Neural Network Force Field, namely Elemental-SDNNFF. The effectiveness andprecision of our Elemental-SDNNFF approach are demonstrated on 11,866 full, half, and quaternary Heusler structures spanning 55elements in the periodic table by prediction of complete phonon properties. Self-improvement schemes including active learningand data augmentation techniques provide an abundant 9.4 million atomic data for training. Deep insight into predicted ultralowlattice thermal conductivity (<1 Wm^(−1) K^(−1)) of 774 Heusler structures is gained by p–d orbital hybridization analysis. Additionally, aclass of two-band charge-2 Weyl points, referred to as “double Weyl points”, are found in 68% and 87% of 1662 half and 1550quaternary Heuslers, respectively. | Alejandro Rodriguez Changpeng Lin Hongao Yang Mohammed Al-Fahdi Chen Shen Kamal Choudhary Yong Zhao Jianjun Hu Bingyang Cao Hongbin Zhang Ming Hu | 2023 | npj Computational Materials2023，，1： | 0 |
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