This paper considers how modeling conditions affect the accuracy of the on-chip spiral inductor. Various approximation methods, such as Kriging model for interpolation by exponential correlation and single exponential correlation functions, radial basis function, and inverse distance weighting, are considered. Several types of response are investigated, including S-parameters, Y-parameters, Y11 response, inductance, and Q-factor. Surrogate modeling combines the Kriging model for interpolation and adapting space mapping. Electromagnetic simulation results are used as the fine model, while the compact model is used as the crude model. The surrogate model is created to design the parameter space, which provides the inductance of 0.9 to 31.9 nH at a 1 GHz step. As a result, the best conditions are identified for surrogate modeling of the on-chip spiral inductor providing S-parameter and phase relative errors of 3.29 and 3.03%, respectively.
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Stepanov, V.I., Salnikov, A.S., Metel, A.A. et al. Effect of Response Approximation on Accuracy of Surrogate Modeling of On-Chip Spiral Inductor. Russ Phys J 66, 749–755 (2023). https://doi.org/10.1007/s11182-023-03001-3
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DOI: https://doi.org/10.1007/s11182-023-03001-3