Machine Learning Assisted Inverse Design of Pixelated mmWave Patch Antennas
In this paper, a machine learning-assisted framework for the inverse design of pixelated millimetre-wave patch antennas targeting the 22-30 GHz band is presented. The antenna surface is represented as a $19 \times 23$ binary pixel grid on a Rogers RT/duroid 5880 substrate, where each pixel is either metal or empty, wit...