Surrogate Modelling for S-Parameters by Using State Space Mapping

Numerous applications can benefit from replacing time-consuming simulations or physical tests with computationally inexpensive surrogate models [1]. Therefore, the development of accurate and robust surrogate models is an area of ongoing research. In this work, we focus on building surrogate models for complex-valued S-parameters as functions of frequency and other structural parameters such as dimensions and material properties.