锂离子电池正极材料LiFeSiO/C的冻干干燥法制备及电化学性质

通过冻干干燥法辅助制备了分布均匀的纳米LiFeSiO材料.通过X射线衍射（XRD）、拉曼光谱（Raman）、扫描电子显微镜（SEM）、N2吸附-脱附、循环伏安（CV）和充放电测试等手段对材料的结构及电化学性能进行了表征.结果表明,冻干法处理后得到的LiFeSiO材料颗粒尺寸更小,能够缩短锂离子的扩散距离;同时较大的比表面积可以使材料与电解液接触更加充分.在1.5.8 V电压范围内,与采用传统烘干干燥法制备的材料相比,采用冻干法制备的材料表现出更高的可逆比容量,并具有良好的倍率性能和循环稳定性.吉林省科技厅科技发展计划项目(批准号:20150204030GX)；吉林省自然科学基金(批准号:20160101320JC)；厦门大学高性能陶瓷纤维教育部重点实验室开放课题(批准号:201602)资助~~

Freeze-drying Synthesis and Characterization of Li2FeSiO4/C Cathode Materials for Lithium Ion Batteries

通过冻干干燥法辅助制备了分布均匀的纳米Li2FeSiO4材料.通过X射线衍射（XRD）、拉曼光谱（Raman）、扫描电子显微镜（SEM）、N2吸附-脱附、循环伏安（CV）和充放电测试等手段对材料的结构及电化学性能进行了表征.结果表明，冻干法处理后得到的Li2FeSiO4材料颗粒尺寸更小，能够缩短锂离子的扩散距离；同时较大的比表面积可以使材料与电解液接触更加充分.在1.5~4.8 V电压范围内，与采用传统烘干干燥法制备的材料相比，采用冻干法制备的材料表现出更高的可逆比容量，并具有良好的倍率性能和循环稳定性.Li2FeSiO4/C nanocomposites were prepared by freeze-dying synthesis. X-ray diffraction, Raman spectrometry, field emission scanning electron microscopy and N-2 adsorption-desorption were used to investigate the effect of dry method on the physical characteristics of Li2FeSiO4/C. The results show that Li2FeSiO4 obtained by freeze-drying method (DG) exhibits smaller particle size and larger specific surface area. The electrochemical performance was studied by galvanostatic charge-discharge and electrochemical impedance spectra. Compared to the Li2FeSiO4 obtained by ordinary drying method (HG), DG exhibits better rate capability, and the discharge capacity of 106. 7 mA . h/g can be achieved at 2C rate.Science and Technology Development Planning of Jilin Province, China; [20150204030GX]; Natural Science Foundation of Jilin Province, China; [20160101320JC]; Key Laboratory of High Performance Ceramic Fibers,; Ministry of Education, Xiamen University, China [201602

柽柳科植物研究及生物多样性保护

对柽柳科植物进行多学科综合研究，补充和完善了柽柳科植物系统分类学、生理生态学、群落生态学和保护生物学领域的基础资料。在系统学研究方面，澄清某些具有争议性的问题，为属的确定及种的归属提供新的依据;在生态学研究方面，通过地理分布、生态适应研究，揭示群落类型与环境的相关性;在保护生物学研究方面，利用分子标记方法探明遗传多样性现状及空间分布格局，揭示遗传分化的驱动力，并提出切实科学的保护策略。在资源开发利用方面，在对柽柳抗逆性能进行综合评价基础上，选择优良抗逆植物，利用基因工程技术筛选、克隆抗逆基因。其内容，极大地推动了荒漠植物专科专属理论研究，为整个荒漠区植物的生物多样性保护及可持续利用提供了科学的理论依据。克隆出的三个抗旱基因，对抗旱植物转基因研究，具重大学术价值。在新疆吐鲁番地区建成目前世界上较完整的柽柳科植物种质基因库，成为我国重要的柽柳研究及干旱荒漠区种苗的生产基地

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies