RF front ends are advancing through the integration of high-frequency passive networks with increasingly efficient active devices engineered for ultra-wide bandwidths and constrained power envelopes.
Abstract: This paper proposes a deep learning-powered method with transfer learning capability to accelerate RF active circuit design. A schematic-level surrogate model for broadband matching is ...
Abstract: This study presents a high-precision artificial neural network (ANN)-based modeling framework for SiC MOSFETs, achieving high accuracy with less than 1.2% ...
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