Programmatic control, AI integration, and automated workflows for high-frequency design.
Radio-Frequency (RF) Electronic Design Automation (EDA) is at a turning point. Historically, engineers adapted their workflows to rigid software tools, often sacrificing flexibility and efficiency. With the rise of increasingly complex, multi-domain hardware systems, these constraints are no longer sustainable. Keysight is reimagining RF simulation as a programmatically controlled, extensible platform — an approach that integrates tightly with measurement science, leverages automation, and opens the door to Artificial Intelligence (AI).
This whitepaper explores:
• The limitations of traditional RF simulators and why a new architecture is needed.
• Key design motives for developing a next-generation RF simulation engine.
• Immediate productivity benefits from Python integration, troubleshooting aids, and parallel optimization.
• Future possibilities for automated workflows, no-code design sequencing, and AI-driven exploration.
The result is an RF simulator that behaves more like an instrument: portable, automatable, and seamlessly pluggable into diverse workflows — unlocking higher productivity, faster innovation, and better first-pass design success.
Read more here.
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