Agentic AI Automates Design-Rule Repair While Preserving Layout Equivalence (Purdue University)

Researchers at Purdue University published a technical paper titled “DRC-Aid: Design-Rule Correction via Agentic Framework utilizing Inference-Time Large Language Models.” Abstract Excerpt: “We present DRC-Aid, a closed-loop agentic framework that automates local DRC repair by formulating it as verification-in-the-loop search. To constrain the combinatorial geometric repair space, a deterministic Rule Engine converts physical verification tool-reported violations into a bounded menu of geometric