Machine Learning-Ready Computer-Aided Butler Matrix Designer

With the rise of 5G, beamforming networks like the Butler Matrix are essential but challenging to design. This paper presents a Python-based, open-source Butler Matrix designer that generates STL files for electromagnetic tools. Unlike manual methods tied to specific software, this approach supports universal designs and integrates machine learning for inverse design, enabling users to create Butler matrices based on specified requirements efficiently.