Python Framework for Modular and Parametric SPICE Netlists Generation
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Abstract (arXiv)
Due to the complex specifications of current electronic systems, design decisions need to be explored automatically. However, the exploration process is a complex task given the plethora of design choices such as the selection of components, number of components, operating modes of each of the components, connections between the components and variety of ways in which the same functionality can be implemented. To tackle these issues, scripts are used generate designs based on high abstract constructions. Still, this approach is usually ad-hoc and platform dependent, making the whole procedure hardly reusable, scalable and versatile. We propose a generic, open-source framework tackling rapid design exploration for the generation of modular and parametric electronic designs that is able to work on any major simulator.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 21 Jun 2023.
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- 2025Graph Neural Networks Based Analog Circuit Link Prediction14 Apr 2025