Genesis platform speeds up plant research across multiple labs
Exploring the Genesis Platform Capabilities to Accelerate Scientific Discovery in OPAL
Distributed, Parallel, and Cluster Computing
Summary
Studying plants often involves a lot of manual work and slow data analysis. The paper explains how the Genesis platform helps scientists by connecting labs and supercomputers, making experiments run faster and easier. Using Genesis, the team reduced hours of manual data checking to just minutes of interactive queries. This helps scientists learn more quickly and work together across different facilities. The researchers demonstrate this with a plant study studying nickel effects over 40 days.
autonomous sciencecross-facility experimentsGenesis platformscientific workflowplant phenotypingsupercomputingdata provenancemanaged executionmodel distributioninteractive queries
Authors
Daniel Rosendo, Renan Souza, Kelsey Carter, John Lagergren, Frédéric Suter, Shelaine L. Curd, David Weston, Rafael Ferreira da Silva
Abstract
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.