AI RESEARCH
SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations
arXiv CS.AI
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ArXi:2605.30345v1 Announce Type: new Printed circuit board (PCB) schematic design defines nearly all electronic hardware, but it remains manual and expertise-intensive. While generative AI has advanced digital and analog IC design, PCB schematic generation from natural-language intent is largely unexplored. This paper presents SchGen, the first large language model that generates editable PCB schematics from natural-language requests. The key challenge lies in the lack of an LLM-suited representation and a large-scale dataset.