MOCVD growth of high-reflectivity AlN/GaN distributed Bragg reflectors

利用金属有机物化学气相沉积(MOCVD)方法在蓝宝石c面衬底上制备出高反射率AlN/GaN分布布拉格反射镜(DBR)。利用分光光度计测量,在418 nm附近最大反射率达到99%。样品表面显微照片显示,有圆弧形缺陷和少量裂纹出现;在缺陷和裂纹以外的区域,DBR具有较为平坦的表面,其粗糙度在10μm×10μm面积上为3.3 nm左右。样品的截面扫描电镜(SEM)照片显示,DBR具有良好的周期性。对反射率和表面分析的结果表明,该样品达到了制备GaN基垂直腔面发射激光器(VCSEL)的要求。A high reflectivity AlN/GaN distributed Bragg reflector(DBR) is grown on c-plane sapphire substrate by metalorganic chemical vapor deposition(MOCVD).A peak reflectivity of 99% is observed around 418 nm by spectrophotometer.Compass-shape defects and a few cracks are observed on the surface.The surface root mean square(RMS) of roughness in the flat area is around 3.3 nm over a 10 μm×10 μm area.The cross-sectional scanning electron microscope(SEM) image reveals the good periodicity of DBR.Considering the peak reflectivity and surface morphology,the DBR can be used to fabricate GaN-based vertical cavity surface emitting laser(VCSEL).国家高技术研究“863”计划资助项目(2006AA03Z409

Growth of High-reflectivity AlN/GaN Distributed Bragg Reflectors in Blue Region

采用金属有机物化学气相沉积方法制备了蓝光波段高反射率Aln/gAn分布布拉格(dbr)反射镜。利用金相显微镜、扫描电子显微镜、原子力显微镜以及分光光度计等测量手段对样品的物理特性进行了分析表征。结果显示样品的表面有少量圆形台面结构和裂纹出现,但在其他区域,样品具有较为平整的表面。该样品在462.5 nM附近获得最大反射率99.4%,表面均方根粗糙度小至2.5 nM。分析表明,所得dbr达到了制备gAn基垂直腔面发射激光器的要求。One high-reflectivity AlN/GaN distributed Bragg reflector(DBR) in blue region was grown with the method of metalorganic chemical vapor deposition(MOCVD).perties of the sample were analyzed by using,scanning electron microscope(SEM),atomic force microscopy(AFM) and spectrophotometer.Except for the circular mesa structure and a few cracks observed on the surface,the sample showed a rather smooth surface.A peak reflectivity of 99.4% was observed around 462.5 nm and the surface roughness was as small as 2.5nm.The properties of the DBR meet the requirements of GaN-based vertical cavity surface emitting lasers(VCSEL).国家“863”计划资助项目(2006AA03Z409

Enhanced Visible Light Photoelectrochemical Performances with Nitrogen Doped TiO_2 Nanowire Arrays

成功制备了氮掺杂锐钛矿TiO2纳米线,并研究了它的光电化学性质.结果表明,与商用P25 TiO2纳米粒子和未掺杂TiO2纳米线相比,氮掺杂TiO2纳米线作为光阳极明显地提高了光电转换效率(IPCE%),在可见光区有明显光吸收;在100 mW/cm2可见光光照下,氮掺杂TiO2纳米线具有最大的光电流密度和能量转换效率.例如,当电压为0.09 V(vs.Ag/AgC l)时最大能量转换效率为0.52%,均高于未掺杂TiO2纳米线和商用P25 TiO2纳米粒子的,充分表现出它优越的光响应和光电化学性能,在光电化学池、太阳能制氢等方面具有广泛的应用前景.Self-organized anodic anatase TiO2nanowire arrays doped with nitrogen have been successfully fabri-cated and their photoelectrochemical(PEC) properties have been characterized and found to be substantially im-proved compared to undoped nanowires or commercial P25 nanoparticles.Photocurrent measured with monochro-matic incident light showed that the incident photon-to-current efficiency(IPCE,%) values of nanowire arrayelectrodes with or without N-doping were obviously higher than that of commercial P25 nanoparticle electrodes,and nitrogen-doped TiO2nanowire arrays(NTNA) had noticeable absorption in the visible region.The NTNAelectrodes showed the highest photocurrent density and power conversion efficiency under 100 mW/cm2visiblelight illumination.A maximumolphotoconversion efficiency of 0.52% was achieved for the NTNA sample at anapplied potential of 0.09 V versus Ag/AgCl(saturated KCl) electrode under visible illumination,much higherthan that of the undoped nanowire and commercial P25 nanoparticle electrodes.These results demonstrate thatNTNA thin films are promising for enhancing the photoresponse and effectively improving PEC performances ofnanostructured TiO2in the visible region for different applications including solar hydrogen generation.作者联系地址：清华大学化学系;美国加利福尼亚大学Santa Cruz分校化学与生物化学系;Author's Address: 1.Department ofChemistry,Tsinghua University,Beijing100084,China;2.Department ofChemistry and Biochemistry,University ofCalifornia,Santa Cruz,California95064,US

In situ Raman spectroscopic evidence for oxygen reduction reaction intermediates at platinum single crystal surfaces

铂基催化剂表面的氧还原反应（ORR）是燃料电池重最重要的阴极反应。虽然经过几十年的研究，ORR的具体反应路径并没有真正解析清楚。在本研究中，李剑锋教授课题组首次利用其发展的电化学壳层隔绝纳米粒子增强拉曼光谱（SHINERS）技术原位研究了Pt(hkl)单晶表面的ORR反应过程，成功捕获到在1150 cm-1、1080 cm-1和732 cm-1区域O2-、OH*和HO2*等重要反应中间物种的直接拉曼光谱证据，并通过相应的同位素取代实验（氘和O-18同位素实验）及DFT理论模拟确认了中间物种的谱峰归属和吸附构型。总的来说，该项研究首次在Pt(hkl)单晶表面原位获得ORR反应重要中间物种的直接拉曼光谱证据，提出合理的ORR反应路径，加深了人们对ORR反应机理的认识，也为其他界面催化反应机理的研究提供了一条可行的研究思路。 该研究工作由校内外多个课题组共同努力完成，化学化工学院李剑锋教授课题组负责相关电化学原位拉曼光谱实验，Alicante大学Juan Feliu教授课题组负责单晶电化学实验，化学化工学院吴德印教授课题组负责DFT理论模拟，物理系杨志林教授课题组负责3D-FDTD的理论模拟。该研究工作的第一作者董金超和第二作者张霞光分别为化学化工学院2014级博士生（已毕业）和2015级博士生。【Abstract】Developing an understanding of structure-activity relationships and reaction mechanisms of catalytic processes is critical to the successful design of highly efficient catalysts. As a fundamental reaction in fuel cells, elucidation of the oxygen reduction reaction (ORR) mechanism at Pt(hkl) surfaces has remained a significant challenge for researchers. Here, we employ in situ electrochemical surface-enhanced Raman spectroscopy (SERS) and density functional theory (DFT) calculation techniques to examine the ORR process at Pt(hkl) surfaces. Direct spectroscopic evidences for ORR intermediates indicates that under acid conditions, the pathway of ORR at Pt(111) occurs through the formation of HO2, while at Pt(110) and Pt(100) it occurs via the generation of OH*. However, we propose that the pathway of ORR under alkaline conditions at Pt(hkl) surfaces mainly occurs through the formation of O2- . Significantly, these results demonstrate that the SERS technique offers an effective and reliable way for real-time investigation of catalytic processes at atomically flat surfaces.This work was supported by the NSFC (21522508, 21427813, 21521004, 21533006, 21621091,and 21775127), "111" Project (B16029 and B17027), Natural Science Foundation of Guangdong Province (2016A030308012), the Fundamental Research Funds for the Central Universities (20720180037), and the Thousand Youth Talents Plan of China. Support from MINECO and Generalitat Valenciana (Spain), through projects CTQ2016-76221-P (AEI/FEDER, UE) and PROMETEOII/2014/013 respectively, is greatly acknowledged. V.B.M thankfully acknowledges to MINECO the award of a pre-doctoral grant (BES-2014-068176, project CTQ2013-44803-P). 该研究工作得到国家自然科学基金委（21522508、21427813、21521004、21533006、21621091和21775127）的大力资助和支持。化学化工学院周志有教授、程俊教授，材料学院张华副教授，英国利物浦大学Gary Attard教授，以及化学化工学院苏敏、王耀辉、卢邦安等博士生和杨晓冬博士对本课题的研究给予了大力的支持和帮助

膜电极性能的影响因素研究

文章以有机多孔膜为电极支撑体制备了亲水电极，用于质子交换膜燃料电池（PEMFC）。考察了电极在全氟代磺酸离聚物（Nafion）的玻璃化温度处理、催化层中Nafion的含量、以及不同厚度的有机多孔膜等因素对电极性能的影响。测试结果表明亲水电极中Nafion分子的有序排列可以减小电极的极化。减小作为电极支撑体的有机多孔膜的厚度有利于电极性能的提高。采用70％Pt／C制备电极时。Nafion的最佳含量为25％，在1000mA／cm^2的电流密度下，电池电压为0．615V

BPM方法在SOI结构中的应用

采用交错隐式算子分裂（ADI）算法，设计、实现了一种高速、高精度的波束传播方法（BPM）来模拟SOI波导中不同偏振态的光传输，研究了PML边界层的选取对虚传播计算基模和基模传播常数的影响，给出了大光腔SOI波导结构不同偏振的基模传播常数

基于低空无人机的草原灌丛遥感辨识方法

以位于中国科学院内蒙古草原生态研究定位站灌丛化样地实验平台为研究区,基于低空无人机遥感影像,结合实地调查,开展草原灌丛遥感辨识方法研究。通过对灌丛、草地和裸地归一化植被指数(NDVI)的方差统计分析,确定了裸地与植被的分割阈值为-0.08,并使用该阈值提取植被覆盖区,然后分别利用面向对象的决策树(DT)、贝叶斯(Bayes)、K最邻近(KNN)、支持向量机(SVM)机器学习分类器进行灌丛辨识。研究表明:借助Estimation of Scale Parameter(ESP)最优分割尺度评价工具可以快速确定分割参数,获取灌丛、草地影像对象;利用特征空间优化工具选取了18个的对象特征,可以有效避免盲目选择而导致的计算量增大;通过对不同分类器分类结果的对比和样本数量敏感性实验得出:Bayes分类器精度稳定、无需设置参数,灌丛分类精度最高,总体精度和Kappa系数分别达到92%和0.83,结果与影像地物嵌合最好,能够精确识别单株灌丛;根据Bayes分类器分类结果统计得研究区灌丛盖度为14.74%,平均冠幅为0.6 m2,与样方调查结果基本一致。由于4种分类器的算法特征以及对训练样本数量的敏感性各不相同,因此选择合适的分类器还需根据具体影像的地物特征、空间分辨率和研究区范围来确定