17–22 May 2026
C.I.D
Europe/Zurich timezone

Overview of the US DOE Multi-Office particle Accelerator Team (MOAT) project

MOP6329
18 May 2026, 16:00
2h
C.I.D

C.I.D

Deauville, France
Poster Presentation MC6.D13: Instrumentation: Artificial Intelligence Poster session

Speaker

Jean-Luc Vay (Lawrence Berkeley National Laboratory)

Description

: On November 24, 2025, the U.S. government launched the Genesis Mission (https://genesis.energy.gov/), a national mission to accelerate science through artificial intelligence. As part of Genesis, the US DOE Multi-Office particle Accelerator Team (MOAT) project is a bold and cross-cutting effort to leverage the power of AI at DOE’s current and future particle accelerator facilities. MOAT’s overarching goal is to fundamentally transform how particle accelerators are operated, optimized, and designed by connecting data, expertise, and innovation across the DOE complex. It will ensure DOE’s particle accelerator facilities are at the forefront of AI-enabled scientific infrastructure, and that next-generation accelerators achieve unprecedented performance, efficiency, scientific, and societal impact. We will present the project in the context of the Genesis Mission, its goals, methods and deliverables, and discuss its relationships to other projects and activities in the U.S. and abroad.

Funding Agency

The US DOE Genesis Mission.

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Author

Jean-Luc Vay (Lawrence Berkeley National Laboratory)

Co-authors

Auralee Edelen (SLAC National Accelerator Laboratory) Dr Axel Huebl (Lawrence Berkeley National Laboratory) Chad Mitchell (Lawrence Berkeley National Laboratory) Chris Tennant (Thomas Jefferson National Accelerator Facility) Daniel Ratner (SLAC National Accelerator Laboratory) Edoardo Zoni (Lawrence Berkeley National Laboratory) Ji Qiang (Lawrence Berkeley National Laboratory) Jonathan Jarvis (Fermi National Accelerator Laboratory) Kevin Brown (Brookhaven National Laboratory) Malachi Schram (Thomas Jefferson National Accelerator Facility) Meifeng Li (Brookhaven National Laboratory) Nathan Urban (Brookhaven National Laboratory) Nicholas Schwarz (Argonne National Laboratory) Philippe Piot (Argonne National Laboratory) Remi Lehe (Lawrence Berkeley National Laboratory) Ryan Roussel (SLAC National Accelerator Laboratory) Salman Habib (Argonne National Laboratory) Thorsten Hellert (Lawrence Berkeley National Laboratory) Dr Willem Blokland (Oak Ridge National Laboratory) Zhe Zhang (SLAC National Accelerator Laboratory)

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