用于光学神经网络硬件系统误差纠正的虚拟神经网络

提出了一种用于修正光学神经网络硬件系统误差的虚拟神经网络模型，光学实验结果表明该网络能够有效地消除硬件系统误差对实验结果的影响。     

Pt/TiO_2催化剂上的氢—氧作用 Ⅰ.氢、氧的吸咐—脱附行为以及相互促进作用

本文采用程序升温脱附(TPD)技术研究了光沉积方法制备的Pt/TiO_2催化剂经过氧化、还原后氧、氢的脱附行为.光沉积过程中,Pt/TiO_2表面上可以生成大量的吸咐氢,在TPD中脱附;同时Pt/TiO_2表面上化学吸附的水在TPD过程中也可以分解释氢.氧化处理的Pt/TiO_2在TPD过程中于550～750K温区出现氧脱附峰,随着氧化温度升高,脱附峰位向高温移动,经实验证明,这种可脱附活泼氧物种的生成是由样品前身中留存氢引起的.还原处理的Pt/TiO_2在TPD过程中分别在300～600和大于600K出现两个氢脱附峰,认为是由于表面羟基和钛—氢(Ti~(4+)—H~-)物种的分解释氢引起的Pt/TiO_2上活泼氧物种的存在,增加了样品在室温条件下的吸氢量;在中温(473～573K)这种活泼氧物种则和氢发生反应,减少了TPD过程中的脱氢量;Pt/TiO_2在大于673K温度还原,可以消除活泼氧物种的影响.     

Weaving 3D highly conductive hierarchically interconnected nanoporous web by threading MOF crystals onto multi walled carbon nanotubes for high performance Li-Se battery

Lithium-selenium (Li-Se) battery has attracted growing attention.Nevertheless,its practical application is still impeded by the shuttle effect of the formed pol...     

黄体酮纳米胶束构建及体外释放行为

为了制备可缓释释放的黄体酮纳米胶束新剂型,构建了两嵌段聚合物载体聚乙二醇-聚丙烯基缩水甘油醚(PEG-PAGE),组装成胶束,对黄体酮担载,考察不同条件下的载药量和包封率,筛选出最佳比例,并进行体外释放研究。 结果表明,该胶束能够担载黄体酮,载药量为4.26%,包封率为21.30%,48 h内累计释放达61.31%,能够有效地延缓黄体酮的释放,为黄体酮纳米剂型的开发提供了实验和技术参考。     

MXenes的制备及其在环境领域的应用

MXenes是一类新型的二维过渡金属碳/氮化物或碳氮化物,是由Mn₊₁AXn相物质(MAX相)通过剥离而得到的单层或薄层纳米片。独特的二维层状结构、较大的比表面积以及出色的导电性、机械稳定性和磁性等性能,使MXenes迅速成为研究热点,并已广泛应用于储能、催化、吸附等众多领域。本文总结介绍了二维材料MXenes的制备方法,并重点综述其近年来在环境领域的应用研究进展,如吸附重金属、吸附放射性金属、吸附有机物、二氧化碳的选择性吸附、光催化、电催化、膜分离、传感器、生物活性、电磁吸收与屏蔽等进行了总结与回顾,最后对现阶段存在的问题和未来发展进行了分析。     

四磷酸钾铽能谱的晶场分析

采用不可约张量法,分析了KTbP₄O₁₂晶体荧光光谱,拟合了五个晶场参量和八个相对论参量,结果与实验吻合。     

Mg-Ni-Nd非晶电极合金充放电过程中的组织结构变化及对其放电容量的影响

采用熔体快淬法制备了(Mg70.6 Ni29.4)90Nd10的非晶贮氢合金带,用X射线衍射仪和高分辨电镜对该合金在充放电循环过程中的组织结构演变进行了动态跟踪.结果表明:(Mg70.6Ni29.4)90Nd10贮氢合金在充放电循环过程中由非晶态慢慢晶化为纳米晶,初生相NdMg2 Ni9在循环过程中逐渐转化为Mg2 Ni,α-Mg和Nd2H5相.电化学性能测试表明,由于微观结构的变化对其放电容量的影响过程分为3个阶段:首先是前两个循环的活化过程,在第3个循环达到放电容量最高值(580.5 mAh·g-1);接下来是放电容量显著降低的4～10个循环阶段;最后是放电容量保持稳定的11 ～20个循环.研究发现NdMg2 Ni9相的存在和保持合金的非晶结构是提高镁基电极合金循环稳定性的重要因素.     

Synthesis of ZnO Photocatalysts Using Various Surfactants

Russian Journal of Physical Chemistry A - Zinc oxide (ZnO) nanostructured materials have received significant attention because of their unique physicochemical and electronic properties. In...     

创造性优化教材 提高探究物理规律的有效性——对比同一教学内容不同教学设计方案有感

新课程改革为每个教师提供了足够的空间,使教师成为教材的生产者和主人,杜威认为:"所谓教材,就是在一个有目的的情境的发展过程中所观察的、回忆的、阅读的和谈论的种种事实,以及所提出的种种观念."     

Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology

A porcelain insulator is an important part to ensure that the insulation requirements of power equipment can be met. Under the influence of their structure, porcelain insulators are prone to mechanical damage and cracks, which will reduce their insulation performance. After a long-term operation, crack expansion will eventually lead to breakdown and safety hazards. Therefore, it is of great significance to detect insulator cracks to ensure the safe and reliable operation of a power grid. However, most traditional methods of insulator crack detection involve offline detection or contact measurement, which is not conducive to the online monitoring of equipment. Hyperspectral imaging technology is a noncontact detection technology containing three-dimensional (3D) spatial spectral information, whereby the data provide more information and the measuring method has a higher safety than electric detection methods. Therefore, a model of positioning and state classification of porcelain insulators based on hyperspectral technology is proposed. In this model, image data were used to extract edges to locate cracks, and spectral information was used to classify the surface states of porcelain insulators with EfficientNet. Lastly, crack extraction was realized, and the recognition accuracy of cracks and normal states was 96.9%. Through an analysis of the results, it is proven that the crack detection method of a porcelain insulator based on hyperspectral technology is an effective non-contact online monitoring approach, which has broad application prospects in the era of the Internet of Things with the rapid development of electric power.