Technology Innovation Institute, P.O. Box 9639, Building B04C, Masdar City, Abu Dhabi, United Arab Emirates.
Instituto de Estructura de la Materia (IEM-CSIC), Consejo Superior de Investigaciones Científicas, Serrano 121, 28006, Madrid, Spain.
Sci Rep. 2023 May 20;13(1):8196. doi: 10.1038/s41598-023-35260-y.
Designing a broadband, wide-angle, and high-efficient polarization converter with a simple geometry remains challenging. This work proposes a simple and computationally inexpensive method for devising broadband polarization conversion metasurfaces. We focus on a cross-shape configuration consisting of two bars of different lengths connected at the center. To design the metasurface, we decompose the system into two parts with two orthogonally polarized responses and calculate the response of each part separately. By selecting the parameters with a proper phase difference in the response between the two parts, we can determine the dimensions of the system. For designing broadband polarization conversion metasurfaces, we define a fitness function to optimize the bandwidth of the linear polarization conversion. Numerical results demonstrate that the proposed method can be used to design a metasurface that achieves a relative bandwidth of [Formula: see text] for converting linearly polarized waves into cross-polarized waves. Additionally, the average polarization conversion ratio of the designed metasurface is greater than [Formula: see text] over the frequency range of 10.9-28.5 GHz. This method significantly reduces the computational expense compared to the traditional method and can be easily extended to other complex structures and configurations.
设计具有简单几何形状的宽带、宽角和高效偏振转换器仍然具有挑战性。本工作提出了一种简单且计算成本低廉的方法来设计宽带偏振转换超表面。我们专注于由两个长度不同的棒在中心连接而成的十字形状配置。为了设计超表面,我们将系统分解为具有两个正交偏振响应的两个部分,并分别计算每个部分的响应。通过选择两个部分之间响应的适当相位差的参数,可以确定系统的尺寸。为了设计宽带偏振转换超表面,我们定义了一个适应度函数来优化线性偏振转换的带宽。数值结果表明,所提出的方法可用于设计一种超表面,其在将线偏振波转换为交叉偏振波时的相对带宽为[Formula: see text]。此外,设计的超表面的平均偏振转换比在 10.9-28.5GHz 的频率范围内大于[Formula: see text]。与传统方法相比,该方法大大降低了计算成本,并且可以很容易地扩展到其他复杂结构和配置。