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This work addresses the problem of simultaneous determination of circuit topology and geometry parameter values of recurrent slow-wave structures. Here, the considered slow-wave structures are specifically meant for use as building blocks of two-section branch-line couplers, whose size and bandwidth depend on the aforementioned parameters. The proposed design strategy exploits data-driven models of...
Reliable yet fast surrogate models are indispensable in the design of contemporary antenna structures. Data-driven models, e.g., based on Gaussian Processes or support-vector regression, offer sufficient flexibility and speed, however, their setup cost is large and grows very quickly with the dimensionality of the design space. In this paper, we propose cost-efficient modeling of antenna structures...
A reliable methodology for accurate modeling of microwave devices is presented. Our approach exploits co-kriging which utilizes low- and high-fidelity EM simulation data and combines them into a single surrogate model. Densely sampled low-fidelity data determines a trend function which is further corrected by sparsely sampled high-fidelity simulations. Low-fidelity EM data is also enhanced by using...
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