AI for RF/MMIC PA Design: Methodology, Constraints, and Validation

AI-assisted RF design only works when the workflow is constrained by physics, process limits, and measurable acceptance criteria.

Methodology

1. Define target specs with measurable pass/fail thresholds.
2. Generate candidate topologies and parameterized layouts.
3. Run circuit-level filtering before expensive EM solves.
4. Execute EM optimization loops with bounded search.
5. Rank candidates by yield-aware objective functions.

Constraints

• PDK and process-rule compliance is non-negotiable.
• EM mesh and solver settings must be reproducible.
• Optimization should enforce hard constraints before scoring soft goals.

Validation

• Compare AI-assisted versus manual baseline on cycle time and achieved metrics.
• Track failed candidates to improve future search priors.
• Keep an auditable record of spec, settings, and final accepted layout.

For implementation questions, contact our team.