WEN Jun,HUANG Xiao-xiao,NING Li xin,DUAN Chang-kui
Accept
摘要:Recent years have witnessed the development of first-principles approaches to study luminescent properties of rare-earth ions and point defects in inorganic phosphors. In this article, we briefly describe the progresses made by the authors and co-workers in this field. Firstly, the first-principles-based approaches to rare-earth luminescent materials are introduced. These include density functional theory calculations of point defects based on the supercell model and wavefunction-based multi-configuration ab initio calculations of excited states. Then, the applications of the methods to some Ce3+- and Eu2+-doped phosphors are elaborated from two aspects, i.e., thermodynamic stabilities and luminescence mechanisms of point defects, and assignment of 4f→5d excitation spectra of the doped rare-earth ions. Finally, chances and challenges in the field of first-principles calculations on rare-earth luminescent materials are briefly discussed.
摘要:Since liquid crystal was first proposed for bio-sensing and detection in 1998, great achievements have been made in the development of fast, simple, and label-free liquid crystal sensors. The large aspect ratio of liquid crystal molecules endows them with long-range molecular orientation and optical anisotropy. The orientation of liquid crystals is easily disturbed by chemical/biological species. The nano-scale disturbance can be amplified to micron-scale and transduced into optical signals which can be observed by naked eyes under polarized light microscope. In particular, liquid crystal droplet biosensor has made remarkable progress in the biological detection field because of its high detection sensitivity and specific optical signal. Liquid crystal droplet has shown outstanding performance in detecting bacteria, viruses, enzymatic activity, proteins, and the interaction between biomolecules. As the performance of liquid crystal droplet biosensor is closely related to the size and uniformity of liquid crystal droplets as well as the specific recognition ability of the interface, the preparation of liquid crystal droplets with controllable size and adjustable interfacial chemistry has become the focus of current research. This review summarizes the research progress of liquid crystal droplet preparation and its application in the field of biological detection in recent years.
摘要:Wind energy is a pollution-free renewable energy, and the proportion of wind power is increasing year by year globally. In view of the large fluctuations in the output of wind power generation, which leads to the instability of the grid power, a short-term wind power prediction model based on integrated multi-scale long short-term memory (LSTM) is proposed. By using LSTM's special processing capabilities for sequence data, combined with the information contained in different scales' time data, to predict short-term wind power after integration. It is conducive to comprehensive control and dispatch of power resources. Experiments are conducted on the real data set of wind power generation in the northeast of our country, and the results prove that the method in this paper has high prediction accuracy and strong stability.
关键词:wind power forecasting;long short-term memory;ensemble learning;multi-scales