Workshops Archive

AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities

Workshop: XLOOP 2025: The 7th Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing

Authors: Daniel Rosendo, Stephen DeWitt, Renan Souza, Phillipe Austria, Tirthankar Ghosal, Marshall McDonnell, Ross Miller, Tyler Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mintz, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, and Rafael Ferreira da Silva (Oak Ridge National Laboratory (ORNL))

Abstract: This paper presents a modular architecture for enabling autonomous cross-facility scientific experimentation using AI agents at ORNL's HPC and manufacturing user facilities. The proposed system integrates a natural language interface powered by an LLM, a multi-agent framework for decision making, programmable facility APIs, and a provenance-aware infrastructure to support adaptive, explainable, and reproducible workflows. We demonstrate how AI agents can orchestrate and optimize additive manufacturing experiments through near real-time coordination between experimental and HPC resources. The architecture is evaluated through a realistic end-to-end workflow that employs a simulated version of the manufacturing facility, showing that the approach reduces coordination overhead and accelerates the scientific discovery process.

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