In this paper, we review recent advances in evolutionary programming (EP) and its
implementation in various antenna, microwave, frequency selective surfaces and RF circuit …

Photonic crystals are periodic dielectric structures that possess a wealth of physical
characteristics. Owing to the unique way they interact with the light, they provide new …

Silicon photonic grating couplers are demonstrated featuring a perfect vertical coupling and
predicted coupling efficiencies of 87% and 78% with an apodized and a standard periodic …

AT junction in a photonic crystal waveguide is designed with the topology-optimization
method. The gradient-based optimization tool is used to modify the material distribution in …

Abstract Machine learning techniques can reveal hidden structures in large amounts of data
and have the potential to replace analytical scientific methods. Electromagnetic simulations …

A linear solar-tracking spectrum-splitting scheme for solar photovoltaics is investigated. The
investigation is made by means of a numerical optimization and an analytical approach to …

Purpose This paper aims to present a deep learning–based surrogate model for fast multi-
material topology optimization of an interior permanent magnet (IPM) motor. The multi …

Photonic crystals (PCs) are built to control the propagation of light within their structure.
These can be used for an assortment of applications where custom designed devices are of …

A two-dimensional photonic crystal diplexer integrated with a waveguide coupler is
proposed. The design is computer generated through an inverse design process, limited …

A discontinuous Galerkin finite element method (DG-FEM) with a highly accurate time
integration scheme for solving Maxwell equations is presented. The new time integration …