51. Evolutionary Algorithm Geometry Optimization of Optical Antennas
- Author
-
Gabriel González, Efrén Flores-García, Ramón Díaz de León-Zapata, Francisco Javier González, and Ángel Rodríguez
- Subjects
Physics ,Directional antenna ,Article Subject ,business.industry ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Energy minimization ,lcsh:HE9713-9715 ,01 natural sciences ,Electromagnetic radiation ,Finite element method ,010309 optics ,Printed circuit board ,Dipole ,Optics ,0103 physical sciences ,Dispersion (optics) ,lcsh:Cellular telephone services industry. Wireless telephone industry ,Radio frequency ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,lcsh:TK1-9971 - Abstract
Printed circuit antennas have been used for the detection of electromagnetic radiation at a wide range of frequencies that go from radio frequencies (RF) up to optical frequencies. The design of printed antennas at optical frequencies has been done by using design rules derived from the radio frequency domain which do not take into account the dispersion of material parameters at optical frequencies. This can make traditional RF antenna design not suitable for optical antenna design. This work presents the results of using a genetic algorithm (GA) for obtaining an optimized geometry (unconventional geometries) that may be used as optical regime antennas to capture electromagnetic waves. The radiation patterns and optical properties of the GA generated geometries were compared with the conventional dipole geometry. The characterizations were conducted via finite element method (FEM) computational simulations.
- Published
- 2016