Bi-based perovskite ferroelectric thin films have wide applications in electronic devices due to their excellent ferroelectric properties.New Bi-based perovskite thin films Bi(Cu_(1/2)Ti_(1/2))O_(3)–PbTiO_(3)(BCT–PT...Bi-based perovskite ferroelectric thin films have wide applications in electronic devices due to their excellent ferroelectric properties.New Bi-based perovskite thin films Bi(Cu_(1/2)Ti_(1/2))O_(3)–PbTiO_(3)(BCT–PT) are deposited on Pt(111)/Ti/SiO_(2)/Si substrates in the present study by the traditional sol–gel method.Their structures and related ferroelectric and fatigue characteristics are studied in-depth.The BCT–PT thin films exhibit good crystallization within the phase-pure perovskite structure,besides,they have a predominant(100) orientation together with a dense and homogeneous microstructure.The remnant polarization(2P_(r)) values at 30 μC/cm^(2) and 16 μC/cm^(2) are observed in 0.1BCT–0.9PT and 0.2BCT–0.8PT thin films,respectively.More intriguingly,although the polarization values are not so high,0.2BCT–0.8PT thin films show outstanding polarization fatigue properties,with a high switchable polarization of 93.6% of the starting values after 10^(8) cycles,indicating promising applications in ferroelectric memories.展开更多
【目的】应用线粒体COI和核CAD基因片段探讨自动条形码间隔探索(automatic barcode gap discovery,ABGD)、广义混合Yule溯祖模型(generalized mixed Yule coalescent,GMYC)、贝叶斯泊松树进程(Bayesian Poisson tree processes,bPTP)和...【目的】应用线粒体COI和核CAD基因片段探讨自动条形码间隔探索(automatic barcode gap discovery,ABGD)、广义混合Yule溯祖模型(generalized mixed Yule coalescent,GMYC)、贝叶斯泊松树进程(Bayesian Poisson tree processes,bPTP)和贝叶斯系统发育和系统地理分析(Bayesian phylogenetics and phylogeography,BPP)4种分析方法在芫菁科(Meloidae)昆虫分子物种界定中的适用性。【方法】分别基于COI,CAD和COI+CAD串联序列数据集,应用ABGD,GMYC,bPTP和BPP 4种方法对中国北方芫菁科常见的6属(沟芫菁属Hycleus、斑芫菁属Mylabris、豆芫菁属Epicauta、绿芫菁属Lytta、星芫菁属Megatrachelus和短翅芫菁属Meloe)18个形态种进行分子物种界定,并与形态学鉴定结果进行比较。【结果】利用COI+CAD串联序列数据集所得物种界定结果与形态鉴定结果一致;COI数据集使用ABGD和GMYC方法的界定结果与形态鉴定结果一致,而bPTP划分的物种数较形态鉴定结果多;基于CAD序列在3种单基因物种界定方法的结果中,除GMYC与形态划分一致外,其余均显示部分结果与形态划分不同。【结论】在芫菁科分子物种界定中,多基因联合序列、多种界定方法分析所得结果优于单一基因片段和界定方法的分析结果。本研究的结果为芫菁科昆虫的分子物种界定和整合分类提供了数据支持和参考。展开更多
基金Project supported by the National Key Research and Development Program of China(Grant No.2021YFA1400300)the National Natural Science Foundation of China(Grant Nos.22271309,21805215,11934017,12261131499,and 11921004)+1 种基金the Beijing Natural Science Foundation(Grant No.Z200007)the Fund from the Chinese Academy of Sciences(Grant No.XDB33000000)。
文摘Bi-based perovskite ferroelectric thin films have wide applications in electronic devices due to their excellent ferroelectric properties.New Bi-based perovskite thin films Bi(Cu_(1/2)Ti_(1/2))O_(3)–PbTiO_(3)(BCT–PT) are deposited on Pt(111)/Ti/SiO_(2)/Si substrates in the present study by the traditional sol–gel method.Their structures and related ferroelectric and fatigue characteristics are studied in-depth.The BCT–PT thin films exhibit good crystallization within the phase-pure perovskite structure,besides,they have a predominant(100) orientation together with a dense and homogeneous microstructure.The remnant polarization(2P_(r)) values at 30 μC/cm^(2) and 16 μC/cm^(2) are observed in 0.1BCT–0.9PT and 0.2BCT–0.8PT thin films,respectively.More intriguingly,although the polarization values are not so high,0.2BCT–0.8PT thin films show outstanding polarization fatigue properties,with a high switchable polarization of 93.6% of the starting values after 10^(8) cycles,indicating promising applications in ferroelectric memories.
文摘随着物流行业在供应链体系中地位上升,由人力驱动的生产运营已不能满足日益增长的效率及利润需求,因此亟需向科技驱动转型。5G PLUS以其网络能力跨越、行业融合跨越、运营服务跨越三大优势,为物流行业提供数字化转型的基础设施保障。该文通过对仓储设备全连接、高精定位、边缘云计算、智能用电场景的研究,实现5G PLUS完全替代传统园区网络,并将边缘算力能力本地化,提供高质量I C T服务,加速仓储自动化、智能化、绿色化、可视化、无人化发展。
文摘【目的】应用线粒体COI和核CAD基因片段探讨自动条形码间隔探索(automatic barcode gap discovery,ABGD)、广义混合Yule溯祖模型(generalized mixed Yule coalescent,GMYC)、贝叶斯泊松树进程(Bayesian Poisson tree processes,bPTP)和贝叶斯系统发育和系统地理分析(Bayesian phylogenetics and phylogeography,BPP)4种分析方法在芫菁科(Meloidae)昆虫分子物种界定中的适用性。【方法】分别基于COI,CAD和COI+CAD串联序列数据集,应用ABGD,GMYC,bPTP和BPP 4种方法对中国北方芫菁科常见的6属(沟芫菁属Hycleus、斑芫菁属Mylabris、豆芫菁属Epicauta、绿芫菁属Lytta、星芫菁属Megatrachelus和短翅芫菁属Meloe)18个形态种进行分子物种界定,并与形态学鉴定结果进行比较。【结果】利用COI+CAD串联序列数据集所得物种界定结果与形态鉴定结果一致;COI数据集使用ABGD和GMYC方法的界定结果与形态鉴定结果一致,而bPTP划分的物种数较形态鉴定结果多;基于CAD序列在3种单基因物种界定方法的结果中,除GMYC与形态划分一致外,其余均显示部分结果与形态划分不同。【结论】在芫菁科分子物种界定中,多基因联合序列、多种界定方法分析所得结果优于单一基因片段和界定方法的分析结果。本研究的结果为芫菁科昆虫的分子物种界定和整合分类提供了数据支持和参考。
