Material-aware inverse design of rectangular dielectric resonator antennas using machine learning
This paper presents a fully automated, data-driven pipeline for the joint dielectric-geometric inverse design of rectangular dielectric resonator antennas (RDRAs) operating at 13.5 GHz in the super high frequency band. Surrogate-based design approaches conventionally adopt artificial neural networks; here, three superv...