Three-Channel Interference Interpretation of Fano Profile

Fano resonance is a ubiquitous phenomenon, and it is commonly interpreted as a two-channel interference of the discrete and continuous channels. The present work investigates the Fano profile from a perspective of the temporal evolution of the wave function. By exciting the atom with a δ pulse and calculating the evolution of the wave function, the Fano formula is deduced. The results clearly show that the Fano resonance is of a three-channel interference, which is different from the traditional understanding. The three channels are revealed as the groundcontinuum, ground-discrete-continuum, and a previously unmentioned third channel, i.e., ground-continuumdiscrete-continuum. The present three-channel interpretation can be easily generalized to other physical systems,contributing to a deeper understanding of the Fano profile.

超表面研究进展

超表面是一种基于广义斯涅尔定律,通过控制波前相位、振幅以及偏振进行电磁/光学波束调控的新结构,其新颖的机制和灵活的结构设计展现出广阔的应用前景。本文阐明了超表面调控波束的物理机理,叙述超表面的发展历程,即从实现超表面到提高有效分量和动态可调超表面的研究过程,总结了超表面透镜、超表面偏振器、表面等离子体激元调控等功能器件,并对超表面有待解决的问题以及今后的发展趋势进行了探讨。

基于百度地图API的纯电动汽车未来行驶能耗预测

为了预测纯电动车的未来行驶能耗,利用从百度地图应用程序接口(API)所获取道路车流数据,并在云计算系统的在环平台(in-loop platform)上进行实车上路实验验证。用百度提供的道路车流数据,可以计算剩余里程、路径规划、能量管理策略以及充电桩布置等。这些数据与实车行驶数据结合,一并作为训练数据集。用k-means聚类分析算法与支持向量机(SVM)分类算法,来预测未来行驶能耗。对比池剩余电量(SOC)的预测值和实车上路实验所得的实际值。结果表明:对于一个40 min、约20 km的行驶工况,能耗预测的误差可以限制在一个标准差σ之内。从而验证了本文基于百度地图API车流数据的未来行驶能耗预测算法的准确性。