OPTICAL CHARACTERIZATION OF SPHERICAL NANOPARTICLES USING SIMULATION APPROACH
Mohammed Hashim Albashir, Hashim Gad Alseed, Hajhamed Diab, Naga Abdalaziz
The optical properties of spherical nanoparticles, such as their extinction cross-section and scattering cross-section, play a crucial role in various fields, including biomedicine, energy, and optoelectronics. In this research, we aimed to develop a MATLAB code that can calculate and analyze the extinction cross-section and scattering cross-section of spherical nanoparticles. The research problem was the need for a simple and accurate tool to study the optical properties of spherical nanoparticles, given the complexity and limitations of existing analytical solutions and numerical simulations. The objectives of the study were to develop a MATLAB code for the calculation and analysis of extinction and scattering cross-sections, validate the code against analytical solutions and previous numerical simulations, and analyze the results to gain insight into the optical properties of spherical nanoparticles. The code was developed based on the Mie theory, and the results were compared with analytical solutions and previous numerical simulations. The results showed that the code was simple, accurate, and user-friendly, and provided valuable information about the optical properties of spherical nanoparticles. The importance of this research lies in the ability to provide a tool for the calculation and analysis of extinction and scattering cross-sections, which is crucial for understanding and optimizing the optical properties of spherical nanoparticles. The results of this research offer new insights into the design and optimization of nanoparticles for specific optical properties and provide a useful tool for researchers and engineers working in the field of optics and optical materials.
Keywords: spherical nanoparticles, optical properties, extinction cross-section, scattering cross-section, Mie theory, optimization
Journal Name :
EPRA International Journal of Multidisciplinary Research (IJMR)
Published on : 2023-02-07