ALCF Service-Enabled Science Series Explores Experiment-Time Computing and the DIII-D Digital Twin
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Off the Wire Press Releases Sept. 1, 2026 — The latest session in the ALCF’s Service-Enabled Science training series explored how integrated computing resources, automated workflows, and modern data infrastructure are helping accelerate fusion research. The webinar, “Fusing Experiments, Data, and Computing at DIII-D and ALCF,” led by General Atomics’ Mark Kostuk and Brian Sammuli, is now available on the ALCF’s YouTube channel. In the first presentation, Kostuk demonstrated how the DIII-D National Fusion Facility is using Globus services and ALCF on-demand computing resources to automatically launch high-fidelity plasma simulations immediately following fusion experiments. By connecting DIII-D’s experimental systems with leadership computing facilities through automated workflows, researchers can analyze experimental data within the roughly 15-minute window between plasma shots. The approach supports production workflows running on ALCF’s Polaris supercomputer, helping researchers evaluate plasma behavior and build high-fidelity datasets that can support faster analysis during experiments. Kostuk also discussed the DIII-D digital twin, which combines detailed simulations with AI surrogate models to rapidly evaluate control strategies, explore plasma scenarios, and help guide future experiments. Sammuli then introduced the Fusion Data Platform (FDP), an AI-ready software framework that provides unified access to fusion data across facilities. Built on open technologies including Globus services and Model Context Protocol (MCP), the platform enables scientists to search, analyze, and visualize fusion datasets through traditional tools or natural-language interfaces powered by large language models. Designed as a foundation for broader Integrated Research Infrastructure (IRI) efforts, FDP simplifies data access while supporting distributed computing, AI-driven analysis, and future expansion to additional fusion facilities and scientific datasets. For an overview of the research behind the webinar, read more about the long-standing collaboration between DIII-D and ALCF. The ALCF’s Service-Enabled Science training series is designed to help researchers leverage ALCF resources and services for experimental, observational, and computationally intensive simulation workflows. Stay tuned for details on future sessions highlighting practical applications of ALCF resources in real-world research. More from HPCwire: Argonne: Using AI and Supercomputers to Streamline Fusion Experiments About ALCF The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines. Supported by the U.S. Department of Energy’s (DOE’s) Office of Science, Advanced Scientific Computing Research (ASCR) program, the ALCF is one of two DOE Leadership Computing Facilities in the nation dedicated to open science. Source: ALCF
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