电子科技大学计算电磁学实验室对计算电磁学的研究进展(英文)

Researches on Computational Electromagnetics in CEMLAB at UESTC

介绍了电子科技大学计算电磁学实验室近年来在计算电磁学领域取得的一些进展和成果。在数值计算方法方面,针对传输、辐射和散射问题,提出了一些新的和改进的时域数值方法和频域数值方法,在保证计算精度的同时提高了仿真的计算效率。在电磁建模方面,提出了知识人工神经网络方法和新型传输线方法,作为高效的CAD工具,其能实现准确和快速的电磁建模。在电磁优化方面,采用跳跃基因遗传算法和空间映射方法对天线和微波无源器件进行了高效率的优化。

A brief review of the early work, current research areas, and future development of computational electromagnetics in the computational electromagnetics laboratory （CEMLAB） at University of Electronic Science and Technology of China （UESTC） is described. The time-domain and frequency-domain numerical methods are developed to improve simulation efficiency while maintaining the same accuracy for transmission, radiation and scattering problems. The neural network with knowledge-based neurons and generalized transmission line equation techniques are adopted for electromagnetic modeling as CAD tools with high performance. Efficient electromagnetic optimization methods, such as jumping genes genetic algorithm and space mapping technique, are also proposed to optimize antennas and microwave passive components.