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SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations

Luo 2026-05-28
Qinpei LuoRuichun MaXinyu Zhang

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

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AIResearch