This paper proposes an advanced technique to develop combined neural network and pole-
residue-based transfer function models for parametric modeling of electromagnetic (EM) …

Space mapping is a recognized method for speeding up electromagnetic (EM) optimization.
Existing space-mapping approaches belong to the class of surrogate-based optimization …

Local optimization is a routine approach for full-wave optimization of microwave filters. For
filter optimization problems with numerous local optima or where the initial design is not …

This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-
based electromagnetic (EM) optimization technique exploiting trust-region algorithms for …

This paper proposes a pole-residue-based adjoint neuro-transfer function (neuro-TF)
technique with electromagnetic (EM) sensitivity analysis for parametric modeling of EM …

Space mapping is a recognized surrogate-based optimization method to accelerate the
electromagnetic (EM) design. In this article, for the first time, space mapping is elevated from …

This article proposes a novel parallel gradient-based electromagnetic (EM) optimization
approach to microwave components using adjoint-sensitivity-based neuro-transfer function …

This paper proposes a novel technique to develop a low-cost electromagnetic (EM) centric
multiphysics parametric model for microwave components. In the proposed method, we use …

Space mapping (SM) is a recognized method for speeding up electromagnetic (EM)
optimization. Existing SM approaches are mostly based on sequential computation …

A novel space mapping (SM) modeling approach for gallium nitride (GaN) high-electron-
mobility transistors (HEMTs) with trapping effects is presented in this article, advancing the …