Lindemans, YensYensLindemansUllrick, ThijsThijsUllrickCouckuyt, IvoIvoCouckuytDeschrijver, DirkDirkDeschrijverDhaene, TomTomDhaene2026-03-302026-03-302025979-8-3315-2062-52475-9481https://imec-publications.be/handle/20.500.12860/58969This work presents a data-efficient approach for optimizing microwave devices by combining Bayesian optimization with physics-informed Gaussian process models. The proposed approach models complex-valued frequency responses as a function of design parameters and frequency instead of modeling an objective function, enabling dynamic optimization of devices with intricate performance criteria. The method is validated through the optimization of a zig-zag microstrip bandpass filter to achieve the desired transmission characteristics. This work highlights the potential of Bayesian optimization to reduce computational costs in microwave device design.engProceedings paper10.1109/SPI64682.2025.11014366WOS:001552221200016