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您的检索式：作者名="Junxiao Fu"
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| 1 | The construction of personalized virtual landslide disaster environments based on knowledge graphs and deep neural networks显示文摘Virtual Landslide Disaster environments are important for multilevel simulation,analysis and decision-making about Landslide Disasters.However,in the existing related studies,complex disaster scene objects and relationships are not deeply analyzed,and the scene contents are fixed,which is not conducive to meeting multilevel visualization task requirements for diverse users.To resolve the above issues,a construction method for Personalized Virtual Landslide Disaster Environments Based on Knowledge Graphs and Deep Neural networks is proposed in this paper.The characteristics of relationships among users,scenes and data were first discussed in detail;then,a knowledge graph of virtual Landslide Disaster environments was established to clarify the complex relationships among disaster scene objects,and a Deep Neural network was introduced to mine the user history information and the relationships among object entities in the knowledge graph.Therefore,a personalized Landslide Disaster scene data recommendation mechanism was proposed.Finally,a prototype system was developed,and an experimental analysis was conducted.The experimental results show that the method can be used to recommend intelligently appropriate disaster information and scene data to diverse users.The recommendation accuracy stabilizes above 80%–a level able to effectively support The Construction of Personalized Virtual Landslide Disaster environments. | Yunhao Zhang Jun Zhu Qing Zhu Yakun Xie Weilian Li Lin Fu Junxiao Zhang Jianmei Tan | 2020 | International Journal of Digital Earth2020，13，12： | 3 |
| 2 | Dual-metal zeolite imidazolate framework for efficient lithium storage boosted by synergistic effects and self-assembly 2D nanosheets显示文摘Metal-organic framework materials(MOFs),such as zeolitic imidazolate framework(ZIF),have been widely used in energy storage due to their advantages such as high structural stability,large specific surface,more active sites and skeleton structures.Herein,a novel two-dimensional(2D)Co Cu-ZIF was synthesized by a facile solvothermal method.The as-prepared Co Cu-ZIF nanosheets exhibit an ultrahigh reversible capacity of 2287.4 m Ah/g and remains at 1172.1 m Ah/g after 300 cycles at a current density of 100 m A/g,far better than that of the single Co-ZIF and Cu-ZIF.Additionally,the specific discharge capacity of Co Cu-ZIF nanosheets can maintain at about 590 m Ah/g after 1000 cycles at the current density of 2 A/g.Owing to the synergistic effect of two metals,function of nitrogen in the molecular and selfassembly 2D nanosheets,our research can provide strong support for the practical application of Co Cu-ZIF materials in lithium ion batteries. | Ming Yue Yajing Fu Canping Zhang Junxiao Fu Shiquan Wang Jianwen Liu | 2022 | Chinese Chemical Letters2022，33，6： | 0 |
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