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The authors evaluate the U.S. Department of Energy's Genesis Mission platform by integrating the Orchestrated Platform for Autonomous Laboratories (OPAL) across Oak Ridge National Laboratory's physical plant phenotyping facility and the Frontier supercomputer. Scaling autonomous scientific discovery requires federating physical experimental hardware with exascale compute, remote model distribution, and governed LLM execution under a unified provenance substrate. Across an active 40-day nickel-treatment campaign, the coupled system compressed roughly 12 hours of manual analytical workflows into interactive queries executing in seconds to minutes.
Coupling wet-lab robotics directly to an exascale supercomputer via a unified cloud substrate collapses half a day of manual scientific analysis down to sub-minute interactive queries.
Autonomous, cross-facility science requires capabilities that no individual project should have to build for itself: managed execution for long-lived services, versioned distribution of models to remote compute systems, governed access to large language models, a shared substrate for experimental data, and end-to-end provenance. The U.S. Department of Energy Genesis Mission platform, delivered through the American Science Cloud, provides these as reusable services. This paper reports how the Genesis platform enables cross-facility experiments and accelerates scientific discovery. We explore the plant phenotyping workflow of the Orchestrated Platform for Autonomous Laboratories as the exemplar: it couples Oak Ridge National Laboratory's Advanced Plant Phenotyping Laboratory with the Frontier supercomputer. In a 40-day nickel-treatment campaign, the resulting workflow replaced roughly twelve hours of manual analysis with interactive queries returning in seconds to minutes.
