Research on the reflectivity enhancement effect of elliptical cylinder metasurface based on SVR-PSO optimization

Abstract In order to enhance the reflectivity of optical sensors, the PT symmetry principle achieved by doping that quantum dots in materials is introduced into the elliptical cylindrical metasurface structure, and the evolution regularity of its spectral characteristics is studied by changing the structural parameters of the elliptical cylinder metasurface structure, such as cylinder thickness h , the long axis length a and the short axis length b of the elliptical cylinder. Innovatively, this work is the first to integrate quantum dot doping with PT-symmetric metasurfaces, breaking the reflectivity limit of conventional metasurfaces via a gain-loss balance mechanism. And through the numerical simulation, the symmetrical cylindrical structure is selected as the optimal structural form. In addition, the radius r of the cylinder and the thickness h of the cylinder are selected as the optimization objects in the SVR-PSO algorithm to further enhance the reflectivity. The results show that the optimization algorithm based on SVR-PSO has remarkable optimization effect on the reflectivity enhancement effect of metasurface structure.