Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization. (arXiv:2204.12948v1 [cs.LG])

The design automation of analog circuits is a longstanding challenge. This
paper presents a reinforcement learning method enhanced by graph learning to
automate the analog circuit parameter optimization at the pre-layout stage,
i.e., finding device parameters to fulfill desired circuit specifications.
Unlike all prior methods, our approach is inspired by human experts who rely on
domain knowledge of analog circuit design (e.g., circuit topology and couplings
between circuit specifications) to tackle the problem. By originally
incorporating such key domain knowledge …

analog arxiv deep learning domain knowledge knowledge learning optimization radio