The HIE-FDTD Method for Simulating Dispersion Media Represented by Drude, Debye, and Lorentz Models

被引:0
|
作者
Chen, Juan [1 ,2 ]
Mou, Chunhui [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, Shenzhen Res Sch, Shenzhen 518057, Peoples R China
基金
中国国家自然科学基金;
关键词
convolutional perfectly matched layer (CPML); dispersion media; hybrid implicit-explicit finite-difference time-domain (HIE-FDTD); SCHEME; IMPLEMENTATION; STABILITY; CPML;
D O I
10.3390/nano13071180
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The hybrid implicit-explicit finite-difference time-domain (HIE-FDTD) method is a weakly conditionally stable finite-difference time-domain (FDTD) method that has attracted much attention in recent years. However due to the dispersion media such as water, soil, plasma, biological tissue, optical materials, etc., the application of the HIE-FDTD method is still relatively limited. Therefore, in this paper, the HIE-FDTD method was extended to solve typical dispersion media by combining the Drude, Debye, and Lorentz models with hybrid implicit-explicit difference techniques. The advantage of the presented method is that it only needs to solve a set of equations, and then different dispersion media including water, soil, plasma, biological tissue, and optical materials can be analyzed. The convolutional perfectly matched layer (CPML) boundary condition was introduced to truncate the computational domain. Numerical examples were used to validate the absorbing performance of the CPML boundary and prove the accuracy and computational efficiency of the dispersion HIE-FDTD method proposed in this paper. The simulated results showed that the dispersion HIE-FDTD method could not only obtain accurate calculation results, but also had a much higher computational efficiency than the finite-difference time-domain (FDTD) method.
引用
收藏
页数:15
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