This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …

As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …

The synthesis of a metasurface exhibiting a specific set of desired scattering properties is a
time-consuming and resource-demanding process, which conventionally relies on many …

This paper presents a new technique for artificial neural network (ANN) inverse modeling
and applications to microwave filters. In inverse modeling of a microwave component, the …

Topology opens many new horizons for photonics, from integrated optics to lasers. The
complexity of large-scale devices asks for an effective solution of the inverse problem: how …

A prior-knowledge-guided deep-learning-enabled (PK-DL) synthesis method is proposed for
enhancing the transmission bandwidth and phase shift range of metacells used for the …

To improve the convenience and efficiency of antenna design, in this article, a novel inverse
artificial neural network (ANN) model is proposed in which antenna performance indexes …

A prior-knowledge-guided deep-learning-enabled (PK-DL) synthesis method is proposed to
design the metacells with the full-range amplitude and phase control for suppressing the …

An efficient knowledge-based artificial neural network (KBANN) is proposed, and it is used
for the design of circularly polarized (CP) lens antenna in this article. In this KBANN, forward …

Over the recent years, reflectarrays and transmitarrays have been drawing a considerable
attention due to their attractive features, including a possibility of realizing high gain and …