Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...

Abstract: This article introduces a novel deep learning approach, utilizing a seq2seq model, to predict far-field radiation emissions (REs) in high-density, multilayer, and complex printed circuit ...