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Artificial Intelligence for Muon Colliders (AI4MuC) Virtual Mini-Workshop

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Description

As artificial intelligence becomes an increasingly important strategic priority in the United States and a powerful tool for the design of future high-energy physics facilities, we are pleased to announce the Artificial Intelligence for Muon Colliders (AI4MuC) virtual mini-workshop, to be held June 29-30, 2026, via Zoom.  This mini workshop is organized is intended as a preparatory meeting, providing an opportunity to develop ideas and perform groundwork in advance of a potential broader AI for Future Colliders workshop later this year and future funding calls. While organized by USMCC, membership in the collaboration is not required for participation in the mini-workshop.

The goal of this workshop is to bring together experts from across frontiers to brainstorm and identify pathways toward developing an AI-native design and technology framework for a future Muon Collider. 

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  • Mon, June 29
    • 1
      Introduction and goals of the workshop
      Speaker: Tova Holmes (University of Tennessee)
    • 2
      Muon Collider Overview
      Speaker: Larry Lee (University of Tennessee)
    • 3
      Overview of AI for accelerators within the US DOE Genesis Mission
      Speaker: Jean-Luc Vay
    • 4
      HEP Community Organization for AI
      Speakers: Peter Elmer, Tulika Bose
    • 5
      Modern differentiable particle tracking code frameworks
    • 6
      Progress on AI-assisted design, tuning, and commissioning tools
    • 2:40 PM
      Break
    • 7
      AI for Ionization Cooling
    • 8
      AI for Magnet and RF technology developments
      Speaker: Maira Kahn
    • 9
      AI for Target Technology Development
      Speaker: Katsuya Yonehara (Fermilab)
  • Tue, June 30
    • 10
      Detector design at a Muon Collider
      Speaker: Federico Meloni
    • 11
      Example: Optimization at the EIC
      Speaker: Cristiano Fanelli
    • 12
      Discussion
    • 13
      SW & Reconstruction at a Muon Collider
      Speaker: Matt LeBlanc (Brown University)
    • 14
      Example: Agents for Software
      Speaker: Gordon Watts
    • 15
      Discussion
    • 16
      Detector R&D at a Muon Collider
    • 17
      Example: Smart Pixels
      Speaker: Ryan Roberts (Unniversity of Chicago, Enrico Fermi Institute)
    • 18
      Discussion
    • 2:45 PM
      Break
    • 19
      BIB Simulation at a Muon Collider
      Speaker: John Dervan (University of Tennessee)
    • 20
      Example: Generative BIB
      Speaker: Radha Mastandrea (The University of Chicago)
    • 21
      Discussion
    • 22
      AI for End-to-End Design
    • 23
      Building Connections with Industry
    • 24
      Discussion & Close-Out