Continuous nitrogen-doped carbon nanotube matrix for boosting oxygen electrocatalysis in rechargeable Zn-air batteries

Developing robust oxygen electrocatalyst with high-performance is very significant for practical rechargeable Zn-air battery.We report herein the preparation of three-dimensional continuous nanocarbon network composed of interconnected nitrogen-doped carbon nanotubes and its application as oxygen electrocatalysis in rechargeable Zn-air battery.Except the excellent electrochemical bifunctionality,this carbon nanotube matrix also delivers an impressive battery performance.Specifically,an opencircuit voltage of 1.50 V as well as a high power density of 220 m W cm^-2 with remarkable cycling stability for 1600 h is achieved in the rechargeable Zn-air battery.The study not only provides an efficient bifunctional oxygen electrocatalyst but more importantly may pave significant concepts in designing robust electrode for long-life rechargeable Zn-air battery and other energy technologies.     

Common (π,π) Band Folding and Surface Reconstruction in Fe As-Based Superconductors

High resolution angle-resolved photoemission spectroscopy(ARPES) measurements are carried out on CaKFe_4 As_4,KCa_2 Fe_4 As_4 F_2 and(Ba_(0.6)K_(0.4))Fe_2 As_2 superconductors.Clear evidence of band folding between the Brillouin zone center and corners with a(π,π) wave vector has been found from the measured Fermi surface and band structures in all the three kinds of superconductors.A dominant ~(1/2)×~(1/2) surface reconstruction is observed on the cleaved surface of CaKFe_4As_4 by scanning tunneling microscopy(STM) measurements.We propose that the commonly observed ~(1/2)×~(1/2) reconstruction in the FeAs-based superconductors provides a general scenario to understand the origin of the(π,π) band folding.Our observations provide new insights in understanding the electronic structure and superconductivity mechanism in iron-based superconductors.     

Luminescence interference-free lifetime nanothermometry pinpoints in vivo temperature

Luminescence nanothermometry makes non-invasive and real-time temperature readings possible in living animals. However,the spectral fluctuation in tissues and fluids, as well as the interaction between fluorophores and environment hinders accuracy of the thermometry. Here, we report a luminescence lifetime-based nanothermometry which specifically addresses this problem. A temporal based calibration(lifetime sensing) in the NIR range, an endogenous thermal response as well as a polymer encapsulation evading environmental factors, altogether help to pinpoint temperature in vivo. Thanks to the highly condensed NdYb ions in a well-protected tiny core-shell nanocrystal(overall 11 nm), a temperature sensitivity about 2.07% K~(-1)(with 5% Yb~(3+) doped nanoparticles) and an accuracy of 0.27 K(with 25% Yb~(3+) doped nanoparticles) in biological fluids are achieved.Hopefully, combining thermally activated energy transfer nanothermometer with anti-interference lifetime thermometry would provide a more accurate temperature measurement for biological and preclinical studies.     

X射线增感屏用纳米CaWO4的Pechini溶胶-凝胶法制备及其光学性能

采用Pechini溶胶-凝胶法制得纳米级CaWO4荧光粉,通过X射线衍射图、扫描电镜和发射光谱对其形貌和发光性能进行了研究,结果表明750℃条件下所得样品为纯相CaWO4晶体,在X射线激发下发射峰位于420nm,与感蓝胶片的光谱灵敏度匹配良好。其粒径在纳米量级且粒度分布集中是该方法所得CaWO4荧光粉的突出优点。将此荧光粉制成X射线增感屏并与市售同类产品相比,该增感屏可使感光片的成像质量显著提高。     

Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory

Domain adaptation aims to learn a classifier for a target domain task by using related labeled data from the source domain. Because source domain data and target domain task may be mismatched, there is an uncertainty of source domain data with respect to the target domain task. Ignoring the uncertainty may lead to models with unreliable and suboptimal classification results for the target domain task. However, most previous works focus on reducing the gap in data distribution between the source and target domains. They do not consider the uncertainty of source domain data about the target domain task and cannot apply the uncertainty to learn an adaptive classifier. Aimed at this problem, we revisit the domain adaptation from source domain data uncertainty based on evidence theory and thereby devise an adaptive classifier with the uncertainty measure. Based on evidence theory, we first design an evidence net to estimate the uncertainty of source domain data about the target domain task. Second, we design a general loss function with the uncertainty measure for the adaptive classifier and extend the loss function to support vector machine. Finally, numerical experiments on simulation datasets and real-world applications are given to comprehensively demonstrate the effectiveness of the adaptive classifier with the uncertainty measure.     

香豆素类荧光传感器

荧光传感器能够将分子识别的信息转换成荧光信号,荧光法在灵敏度、选择性和实时原位检测等方面优势突出。实时检测被分析物的水平已引起包括化学家、生物学家、临床生物化学家和环境学家的极大兴趣。以香豆素为基础的荧光传感器近年来已成为一个新兴的研究热点。本文综述了香豆素类荧光传感器在阳离子、阴离子、中性分子识别检测中的分子设计、作用机理和应用效果,展望了该领域的发展方向。     

聚芴类电致发光材料

聚芴与其衍生物是一类重要的电致发光聚合物,它们具有较高的光致发光效率,并且易于进行结构修饰,因此受到材料化学家们的高度关注。本文叙述的线索是聚合物结构与其电致发光性能之间的构效关系。通过化学修饰,可以调节材料的前线分子轨道、热和光谱稳定性,进而开发新的发光材料。文中首先简单介绍了聚芴类发光材料的聚合方法,然后把这些聚合物按结构不同分成两个部分介绍：一部分是主链仅含有共轭芴单元的聚合物,它们的化学修饰依赖于芴9位的活性碳原子;另一部分是通过共聚方法得到的主链含有芴和其它基团的聚合物。     

正丁烷脱氢制正丁烯催化剂

综述了对正丁烷脱氢制备正丁烯的催化剂体系,包括有氧脱氢中钒基催化剂、钼酸盐系列和焦磷酸盐系列催化剂;催化脱氢中贵金属Pt系催化剂、以ZSM-5分子筛为载体的催化剂以及膜反应器。探讨了正丁烷脱氢动力学,并在Mars-van Krevlen和 Eley-Rideal机理模型动力学基础上归纳了正丁烷氧化脱氢及直接脱氢的机理。讨论了正丁烷催化剂的影响因素,比较了各类催化剂的特点并对其进行展望,认为ZSM-5分子筛将可能成为正丁烷脱氢制正丁烯的新的研究热点。     

二苯并噻吩亚砜的单晶结构及其π-π堆积作用理论研究

采用X射线衍射法测定二苯并噻吩亚砜单晶结构,发现晶体中二苯并噻吩亚砜分子以反平行三明治式的结构Ⅲ和反平行位移式的结构Ⅳ两种堆砌方式交替堆砌形成有序π-π堆积晶体。二苯并噻吩亚砜单晶结构属于三斜型,空间群为P1,晶体参数为:a=0.84712nm,b=0.94137nm,c=1.20380nm,α=97.866°,β=106.2630°,γ=96.437°,V=0.9014nm3,R1(全部数据)=0.0348和ωR2(全部数据)=0.0814。利用BHandH/6-31 G**方法计算了二苯并噻吩亚砜分子间的π-π堆积作用,Ⅲ和Ⅳ堆砌模式的π-π堆积效应作用能相当大,其计算值分别为-36.06kJ/mol和-39.83kJ/mol,电荷分布表明正负电荷匹配是稳定晶体π-π堆积体系的重要因素。     

分子识别在纳米材料组装中的应用

分子识别应用于纳米材料组装中的研究正受到人们的广泛关注,并逐渐成为超分子化学研究领域中的一个热点。本文对近年来利用分子识别实现纳米材料的组装及可控组装的研究工作进行了综述,并对该领域的研究前景进行了展望。