Agentic AI in Computational Mechanics

USACM Technical Thrust Areas

Committee: Agentic AI in Computational Mechanics

Agentic AI is transforming how computational models are built, executed, and interpreted. The TTA aims to serve as a focal point for research, collaboration, and community-building at the intersection of computational mechanics, artificial intelligence, and scientific computing. The TTA will bring together researchers working on topics such as autonomous simulation, agent-driven workflows for scientific discovery, intelligent design optimization and digital twins, and real-time decision-making enabled by agentic systems. It will also emphasize the development of rigorous standards for benchmarking, verification, validation, reproducibility, and reliability in simulations that incorporate agentic systems.

In addition to advancing research, the TTA will promote education and training as Agentic AI becomes increasingly integrated into computational modeling workflows. Through minisymposia, short courses, workshops, webinars, and community resources, the initiative will help define best practices and research priorities for this rapidly evolving field.

Chair: Hector Gomez, Purdue University
Vice-Chair: Ilias Bilionis, Purdue University
Member-at-Large: Thomas J.R. Hughes, University of Texas at Austin
Krishna Garikipati, University of Southern California

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