ICP-induced defects in GaN characterized by capacitance analysis

The defects induced by inductively coupled plasma reactive ion etching (ICP-RIE) on a Si-doped gallium nitride (GaN:Si) surface have been analyzed. According to the capacitance analysis, the interfacial states density after the ICP-etching process may be higher than 5.4 × 10¹² eV⁻¹ cm⁻², compared to around 1.5 × 10¹¹ eV⁻¹ cm⁻² of non-ICP-treated samples. After the ICP-etching process, three kinds of interfacial states density are observed and characterized at different annealing parameters. After the annealing process, the ICP-induced defects could be reduced more than one order of magnitude in both N₂ and H₂ ambient. The H₂ ambient shows a better behavior in removing ICP-induced defects at a temperature around 500 °C, and the interfacial states density around 2.2 × 10¹¹ eV⁻¹ cm⁻²can be achieved. At a temperature higher than 600 °C, the N₂ ambient provides a much more stable interfacial states behavior than the H₂ ambient.     

激光微束穿刺法获得抗虫转基因油菜及其后代的研究

利用激光微束穿刺法将苏云金芽孢杆菌的毒蛋白 (δ endotoxin)基因导入了油菜 ,经聚合酶催化链式反应(PCR)和PCRSouthern杂交证明抗虫基因已导入油菜基因组中并能在T1 代得到遗传。对转基因植株进行了抗虫性测试 ,结果表明某些植株具有较好的抗虫性 ,并且这种抗虫性在T1 代仍能保持。实验结果表明抗虫基因已整合进油菜基因组并得到了稳定的遗传。     

A Stable Polymer-based Solid-State Lithium Metal Battery and its Interfacial Characteristics Revealed by Cryogenic Transmission Electron Microscopy

Solid-state lithium metal batteries (SSLMBs) are a promising candidate for next-generation energy storage systems due to their intrinsic safety and high energy density. However, they still suffer from poor interfacial stability, which can incur high interfacial resistance and insufficient cycle lifespan. Herein, a novel poly(vinylidene fluoride‑hexafuoropropylene)-based polymer electrolyte (PPE) with LiBF₄ and propylene carbonate plasticizer is developed, which has a high room-temperature ionic conductivity up to 1.15 × 10⁻³ S cm⁻¹ and excellent interfacial stability. Benefitting from the stable interphase, the PPE-based symmetric cell can operate for over 1000 h. By virtue of cryogenic transmission electron microscopy (Cryo-TEM) characterization, the high interfacial compatibility between Li metal anode and PPE is revealed. The solid electrolyte interphase is made up of an amorphous outer layer that can keep intimate contact with PPE and an inner Li₂O-dominated layer that can protect Li from continuous side reactions during battery cycling. A LiF-rich transition layer is also discovered in the region of PPE close to Li metal anode. The feasibility of investigating interphases in polymer-based solid-state batteries via Cryo-TEM techniques is demonstrated, which can be widely employed in future to rationalize the correlation between solid-state electrolytes and battery performance from ultrafine interfacial structures.     

网络教学平台在教学中的应用初探

虽然我们已经迈进二十一世纪有十几年了,科学技术的发展也是日新月异,但是在实际的教学过程中,新的技术在教学中的应用并不广泛、全面。本文以高校计算机基础教学课程为例,分析在新技术支持下的网络教学平台在教学中的初步应用。     

串式装药两相流模型及数值求解

为改善串式装药的内弹道性能,对超高射频弹幕武器的核心技术串式装药进行研究。根据内弹道学及两相流相关基础知识,通过合理假设建立了串式装药的准两相流内弹道数学物理模型,给出计算方法,并采用MATLAB编写了计算程序,以30 mm口径武器为基础进行了数值求解,对求解结果给出了较好的三维图例,反映了发射药的燃烧规律及弹丸的运动过程。从理论上对侧药室密封和不密封进行了计算。结果表明,在最大压力保持基本不变的情况下初速由未密封时的588.4 m/s提高到密封后的626.3 m/s,初速提高了6.4%,对侧药室密封能够在一定程度上改善串式装药的内弹道性能。     

聚氨酯原位结晶包覆HMX的研究

为有效降低HMX的机械感度,采用聚氨酯与HMX原位结晶的方法对HMX进行包覆改性处理.借助扫描电镜(SEM)、激光粒度仪、X-射线衍射、机械感度测试等方法表征改性前后HMX的粒子形态、粒径、晶型、撞击感度和摩擦感度.结果表明,原位结晶包覆处理后的HMX晶体质量得到明显改善,晶体形貌更规整、颗粒表面缺陷显著减少,β-晶型...     

量子阱红外探测器掺杂阱中能级的计算

量子阱中能级位置的确定是获得量子阱红外探测器其它设计参数的基础。为了提供足够的载流子跃迁,阱层一般为重掺杂层。重掺杂使半导体材料禁带宽度变窄,从而改变量子阱中能级的位置。通过对不同温度、量子阱区不同掺杂浓度条件下的量子阱材料PL 谱进行测量,得出PL 谱峰值波长对应的电子跃迁峰值能量,它与阱中基态能级的位置有关。分别计算了考虑和不考虑禁带变窄效应时的电子跃迁峰值能量,并与实验结果相比较,可以看出考虑禁带变窄效应时与实验结果相吻合,因此掺杂量子阱区能级的计算需要考虑禁带变窄效应,这样可以较为精确的得出阱中能级的位置。     

铝粉含量对环氧腻子性能的影响

考察了铝环氧腻子中铝粉含量不同而对其性能产生的不同影响,提出了最佳的铝粉含量。     

海珊瑚在不同酸性条件处理下的微结构研究

本文利用扫描电镜（ＳＥＭ）观察了滨珊瑚和角孔现瑚及它们在不同酸性条件处理下的形貌和显微结构变化,并对角孔珊瑚进行了溶解失重分析。实验结果表明,为了保持珊瑚天然的微结构,以作为制备人工骨的材料,对其进行了处理环境的环境ｐＨ值不能小于３。     

运用自组织神经网络进行多目标跟踪的算法

总结了自组织神经网络的结构、训练方法；分析了在多目标跟踪问题中数据关联的重要性及传统的数据关联方法的局限性；研究了在多目标环境下运用自组织神经网络解决数据关联的问题。提出了一种基于自组织神经网络对多个目标实施跟踪的算法，此算法采用自组织神经网络的聚类功能对目标进行数据关联处理，并将经过卡尔曼滤波后的数据信息结合到神经网络的学习训练中。仿真实验结果表明此算法能在多目标环境下取得较好的跟踪效果。