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Nanoforest-like CdS/TiO_2 heterostructure composites:Synthesis and photoelectrochemical application 下载免费PDF全文
In this study, TiO_2 nanoforest films consisting of nanotubes have been synthesized by a simple hydrothermal method and a subsequent sintering technique. The hydrothermal reaction time is important for the controlling of the nanotube diameter and the specific surface area of holistic TiO_2 films. When the hydrothermal process reaction time is up to 8 hours,the diameter of the nanotube is about 10 nm, and the specific surface area of TiO_2 nanoforest films reaches the maximum.CdS nanoparticles are synthesized on TiO_2 nanoforest films by the successive ionic layer adsorption and reaction(SILAR)technique. The transmission electron microscope(TEM) and energy dispersive x-ray spectroscopy(EDX) mapping results verify that TiO_2/CdS heterostructures are realized. A significant red-shift of the absorption edge from 380 nm to 540 nm can be observed after the pure TiO_2 film is sensitized by CdS nanoparticles. Under irradiation of light, the current density of the optimal TiO_2/CdS photoanode is 2.30 mA·cm-2 at 0 V relative to the saturated calomel electrode(SCE), which is 6 times stronger than that of the pure TiO_2 photoanode. This study suggests that the TiO_2 nanoforest consisting of interlinked pony-size nanotubes is a promising nanostructure for photoelectrochemical. 相似文献
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以含有不同取代基的吡啶为起始原料,α-氨基酸为手性源,设计并合成了新型的含有手性中心的联吡啶衍生物,其结构经1H NMR, 13C NMR和HR MS(ESI)表征。 相似文献
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采用水热法制备(001)晶面裸露的TiO2纳米片阵列薄膜,并采用水热法进行CdS纳米颗粒复合,探讨不同水热反应时长对复合薄膜结构及性能的影响.为了提高复合薄膜的光电化学性能,在水热反应过程中引入Cu前驱体,并探讨不同掺杂浓度对复合薄膜性能的影响.研究结果表明Cu元素掺杂有效拓宽了CdS复合TiO2纳米片阵列薄膜(CdS/TiO2)的光吸收范围,并且提高了CdS/TiO2的光电化学性能.当水热反应3h,Cu掺杂浓度为1∶1 000时,CdS/TiO2的光电性能达到最佳. 相似文献
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本文提出一种基于虚拟共轭线圈(Virtual Coil Concept,VCC)技术和k空间插值鲁棒人工神经网络(Robust Artificial-neural-networks for k-space Interpolation,RAKI)的图像重建方法,用于磁共振多层同时激发成像(Simultaneous Multi-Slice imaging,SMS),该方法能够有效提升重建图像的质量,被命名为VIRGINIA(VIRtual conjuGate coIls Neural-networks InterpolAtion).为了得到更高质量的SMS图像,本文提出的VIRGINIA方法利用磁共振线圈数据的复数共轭对称性质扩展了SMS所获取的多通道数据,并将扩展后的数据用于RAKI网络的训练,利用训练后的网络实现高质量的SMS图像重建.本文将VIRGINIA方法和其他SMS图像重建方法(RAKI和Slice-GRAPPA方法)进行了对比,并采用结构相似指数(Structural Similarity Index,SSIM)、峰值信噪比(Peak Signal-to-Noise Ratio,PSNR)和均方根误差(Root Mean Square Error,RMSE)对不同方法的重建图像进行了量化对比分析.结果显示,在相同的SMS加速倍数下,使用VIRGINIA方法进行重建的图像质量均好于RAKI方法,且远好于传统Slice-GRAPPA方法. 相似文献
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