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    Item type:Publication, Access status: with files ,
    Agentic AI for user facilities: workshop report
    (Taylor & Francis, 2026-04-21)
    Hellert, Thorsten
    ;
    Abramov, David
    ;
    Ajami, Mahmoud
    ;
    Barnard, Edward S.
    ;
    Bhimji, Wahid
    This workshop addressed a gap: the most recent DOE reports on AI for science [1–3] predate recent advances in agentic AI—LLMbased systems that can plan, orchestrate, and execute multi-step workflows. With 100 participants from eight US DOE facilities and two allied facilities across accelerators, beamlines, nanoscience, genomics/biology, and computing infrastructure, this report identifies paths to deploy agentic AI at DOE user facilities while preserving safety, accountability, and rigor. Discussions also reflected DOE’s Genesis mission emphasis on end-to-end workflow acceleration through integrated data, computing, and AI capabilities.
    Publicationtype: Journal Article
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