Agentic Methods in RF and Microwave Design
Learn how agentic AI methods support RF and microwave design workflows, improve HFSS interaction and turn simulation results into insight
Covered in this session:
How AI methods are evolving from prediction and optimization toward agentic workflows
Where traditional surrogate models and generative design help, and where they are limited
How conversational workflows can support RF and microwave simulation tasks
How an MCP-based architecture can interact with HFSS
How AI can help interpret S-parameters such as S11 and S21
What agentic methods could mean for RF engineering teams
