Leverage GenAI and search to synthesize PCBs directly using physics-based analysis and high-level design goals.
PCB design is the act of realizing a schematic into a physical form. Currently, human designers use electronic design automation (EDA) software to combine component placement and routing to realize the electrical connectivity on a manufacturable PCB. Computer-aided design (CAD) tools have been used in the design flow since the 1970s and are now an essential part of the designer’s toolkit. Some types of design, such as that for digital ICs, have large amounts of automation in the workflow, but the same is not true for PCBs. Automation tools have struggled to keep up with the incredible increase in design complexity, so a majority of designs are manually placed and routed.
To handle complex designs and iterate on existing technologies, PCB designers have many best practices that involve rules of thumb and common design patterns. Many of these are under the guise of “if something works, we should reuse it in the future to speed up the design process.” They are usually not backed by physically motivated evidence for their use, and in some cases, designs might work despite these practices. This further highlights the need for design optimization that uses a physics-first approach to search beyond prior art.
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