煤直接液化油中混合酚的分离研究

利用分子筛择形特点，对煤直接液化油中的混合酚实施高效分离。本研究选取间甲酚和对甲酚作为分离煤直接液化油馏分段混合酚的模型化合物，采用化学液相沉积法对HZSM-5吸附剂的孔口结构进行改变，分析分子筛硅铝比及颗粒粒径对模型化合物间甲酚和对甲酚吸附分离性能的影响，以获得高性能固相吸附剂，并将其应用于180-190℃馏分段混合酚分离。结果表明，当分子筛硅铝比为25、粒径为3-5 μm时，分子筛的孔口结构调节效果最优；当正硅酸乙酯的最小用量为0.2 mL/g时，固相吸附剂的吸附量为0.03 g/g，对甲酚选择性高于95%。由于外表面沉积物对吸附剂的孔口结构变化，导致对甲酚选择性的提高。进一步采用HZSM-5（1）吸附剂对真实煤直接液化油混合酚的分离中发现，苯酚和对甲酚的选择性均达到100%。     

华南沿海黄色粉土沉积的激光粒度分析及其成因讨论

在华南沿海地区的低矮丘陵及台地上，广泛发育一套黄色粉土堆积。对该区7个典型剖面进行系统的激光粒度分析，并与典型黄土以及研究区常见的海、河相沉积进行对比。结果表明，华南沿海各黄色粉土剖面均以10～50 μm的粗粉砂为众数粒组，<5 μm的粘粒为次众粒组，分别对应风成黄土的“基本粒组”和“挟持粒组”，岩性均属于粘土质粉砂。样品的粒度参数、粒度散点图、频率分布曲线、粒度指数特征均显示为典型的风成成因。粒度判别分析结果为负值，同样证实了黄色粉土的风成特性。华南沿海黄色粉土的各项粒度特征指标及其所反映的沉积类型、沉积环境均与我国典型黄土具有较好的可比性，而与研究区的海、河相沉积截然不同。     

基于氯化铯背接触处理优化硒化锑薄膜太阳电池性能

本文使用气相输运沉积的方式制备了硒化锑(Sb₂Se₃)薄膜太阳电池，并采用氯化铯(CsCl₂)溶液对器件上界面进行处理，同时对薄膜和器件进行了一系列表征。研究发现，CsCl₂溶液的背接触处理不仅可以提高器件的载流子收集以及降低上界面复合，还可以优化薄膜的结晶性、表面粗糙度和光电性能。基于FTO/CdS/Sb₂Se₃/CsCl₂/Au的器件结构，得到了转换效率为6.32%的高效Sb₂Se₃薄膜太阳电池，比基础器件效率提升了12%。本文的工作对Sb₂Se₃薄膜太阳电池未来的研究有一定的指导作用，其他同类型半导体光伏器件也可借鉴。     

Tuning circular Bragg phenomenon of TiO2 sculptured thin films with chiral structure

TiO2 chiral sculptured thin films （CSTFs） prepared using glancing angle deposition （GLAD） method based on electron beam evaporation are studied. The relationship between structural parameters and circular Bragg phenomenon （CBP） is investigated. Results demonstrate that, the central wavelength of Bragg regime red-shifts with the increasing pitch of helix, and peak value of selective transmittance will increase after adding more turns to the helix. After annealing, the central wavelength blue-shifts and the peak value rises. Tuning CBP by modulating the deposition parameters and annealing can optimize the performance of circularly polarized devices fabricated from CSTFs.     

Advanced control and modeling of deposition processes

During the last decade, striking improvements could be achieved for the precise control of deposition processes in optical coating technology. For example, as a consequence of enormous progresses in measure- ment and computer technology, direct optical monitoring in a broad spectral range can be considered as a common tool in many production environments nowadays. Besides the development of the corresponding hardware and measurement channels, advanced approaches for the evaluation of the acquired data and new multiple sensor monitoring strategies moved into the focus of modern research on the way towards de- terministic deposition techniques. In this context, also innovative concepts for the simulation of deposition processes to forecast the result for a specified coating design and automatic online correction algorithms gained of importance to reduce the risk of failure in coating production. The present contribution will be dedicated to selected aspects in this field, especially addressing broad band optical monitoring systems. A short review on examples for existing hardware configurations and software tools will be presented illus- trating the advantages of modern process control techniques. Novel approaches based on the modeling of thin film growth are discussed as an additional strategy to improve the predictability of coating processes.     

Online re-optimization of optical filters on a production sputter tool

This contribution presents a magnetron sputter deposition tool with broadband optical monitor and online re-optimization capability for high volume production. The layer termination relies on a comparison of the actually measured reflection spectrum with a pre-calculated target spectrum. Spectra recorded after each deposited layer are analyzed by the re-optimization module and in case of significant deviations layer thicknesses and target spectra for the remaining layers are recalculated. This technique significantly improves the performance and reproducibility in case of highly denlanding coating designs and is able to correct abnormal production errors in individual layers, which will lead to coating failure without re- optimization.     

Method to accurate calibrate deposition rates of EUV multilayer coatings

Random thickness error is an important factor which effects the calibration accuracies of deposition rates for extreme ultraviolet （EUV） multilayer coatings fabricated by sputter deposition techniques. A least square fitting method is proposed to determine deposition rates and extract random thickness errors accurately. The validity of this method is shown by evaluating two deposition systems with control abilities of -0.1 nm and better than 0.01 nm respectively.     

微波加热制备含稀土(La2O3)矿渣微晶玻璃研究

利用矿渣制备微晶玻璃是提高矿产资源利用率的主要形式之一。本文以白云鄂博尾矿为原料,采用微波一步法制备了CaO-MgO-Al₂O₃-SiO₂(CMAS)系辉石相矿渣微晶玻璃。选择835 ℃作为晶化温度,研究了微波加热对微晶玻璃析晶行为和微观组织的影响。以La₂O₃作为研究变量探讨了La₂O₃添加对矿渣微晶玻璃析晶行为的作用。与传统的热处理制度相比,微波加热可以在较短的时间内达到较高的析晶效果。同时La₂O₃的添加促进了晶粒细化。由拉曼光谱分析,La离子添加会导致玻璃网络中桥氧的增多,促进了辉石相析晶。在La的添加量为4%(质量分数)时硬度最高,达到了829.22 MPa。     

金微/纳颗粒阵列的SERS效应研究

表面增强拉曼散射(surface-enhanced Raman scattering,简称为SERS)能够提供有机分子的指纹特征信息,且具有灵敏度高和响应时间快等优点,是一项具有发展前景的分析技术。纳米结构SERS基底是获得SERS信号的关键。本文利用简便的电沉积方法在硅片上制备大面积的金微/纳颗粒阵列。金纳米颗粒之间存在大量狭小的纳米间隙,在光激发下产生大量的SERS"热点",从而具有很高的SERS灵敏度。而且,这种金微/纳结构具有高结构稳定性和化学稳定性。该结构对浓度低至10-12 M的罗丹明6G(R6G)具有很高的SERS灵敏性,且具有很好的SERS信号均匀性。利用这种微/纳结构阵列SERS基底,实现对水中低浓度农药甲基对硫磷的成功检测。这表明我们制备的金微/纳颗粒阵列在检测环境中的毒性有机物污染物方面具有潜在的应用前景。     

宁波材料所在CVD大块单晶金刚石合成技术方面取得进展

<正>中国科学院宁波材料技术与工程研究所"功能碳素材料团队"以实现金刚石精密工具的国产化和产业化为目标,最近在CVD(Chemical-Vapor-Deposition:化学气相沉积)单晶金刚石合成方面取得了突破性进展。团队从国产微波等离子体CVD设备设计改造着手,开发了高密度、高稳定性的金刚石沉积装置。与国外设