IEEE

Efficient Circuit Performance Prediction Using Machine Learning: From Schematic to Layout and Silicon Measurement with Minimal Data Input

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 ...
IEEE

GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment

The success of foundation AI has motivated the research of circuit foundation models, which are customized to assist the integrated circuit (IC) design process. However, existing pre-trained circuit ...