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Inverse modeling of microwave components plays an important role in microwave design and diagnosis or tuning. Since the analytical function or formula of the inverse input‐output relationship does not exist and is difficult to obtain, artificial neural network (ANN) becomes an efficient tool to develop inverse models for microwave components. This paper provides an overview of recent advances in neural...
Parametric modeling of electromagnetic (EM) behaviors has become important for EM design optimizations of microwave components. This paper provides an overview of recent advances in parametric modeling of microwave components using combined neural network and transfer function (neuro‐TF). Transfer functions are used to represent the EM responses of passive components vs frequency. With the help of...
To increase the density of input/output connections, the polymer‐filled through‐silicon vias (PF‐TSVs) were proposed recently. To analyze the reliability of the PF‐TSVs, multiphysics characterization is conducted in this paper. The time‐domain finite‐element method is used to cosolve the heat conduction and thermal stress equations. Temperature‐dependent materials' parameters such as thermal conductivity,...
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