
Optimization of the electromagnetic scattering problem based on the topological derivative method
Author(s) -
Juan B Torres Ruiz,
Alan A. S. Amad,
Lucas H. Gabrielli,
Antônio André Novotny
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.033586
Subject(s) - topology optimization , topology (electrical circuits) , metamaterial , fréchet derivative , gradient descent , scattering , physics , finite element method , mathematics , computer science , mathematical analysis , optics , artificial neural network , banach space , combinatorics , machine learning , thermodynamics
A new optimization method based on the topological derivative concept is developed for the electromagnetic design problem. Essentially, the purpose of the topological derivative method is to measure the sensitivity of a given shape functional with respect to a singular domain perturbation, so that it has applications in many relevant fields such as shape and topology optimization for imaging processing, inverse problems, and design of metamaterials. The topological derivative is rigorously derived for the electromagnetic scattering problem and used as gradient descent direction to find local optima for the design of electromagnetic devices. We demonstrate that the resulting topology design algorithm is remarkably simple and efficient and naturally leads to binary designs, while depending only on the solution of the conventional finite element formulation for electrodynamics. Finally, several numerical experiments in two and three spatial dimensions are presented to illustrate the performance of the proposed formulation.