RPI Researchers Harness Agentic AI for Smarter, Faster Aerospace Design

Funding from Google and the U.S. Department of Energy helped a team of researchers develop an assortment of agentic AI-enabled tools to help optimize traditional aerospace design processes.

Rensselaer Polytechnic Institute, Troy, NY

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated agentic AI into computational fluid dynamics (CFD) to optimize the aerospace design process and alleviate bottlenecks.

Pan's advances address priorities outlined in Winning the Race: America's AI Action Plan, which emphasizes that “high-quality data has become a national strategic asset” and calls for “the world's largest and highest quality AI-ready scientific datasets.”