Artificial intelligence for advancing particle accelerators
Artificial intelligence is increasingly shaping the way we think, design, build and operate present and future particle accelerators for science discovery and society.
Authors
- THOMAS B. SHEA (ORCID: https://orcid.org/0000-0001-7378-684X)
- H. Guler (ORCID: https://orcid.org/0000-0002-9709-8715)
- K. Cassou (ORCID: https://orcid.org/0000-0002-6061-0447)
- Gianluca Valentino (ORCID: https://orcid.org/0000-0003-3864-7785)
- Annika Eichler (ORCID: https://orcid.org/0000-0003-3282-3135)
- A. Ghribi (ORCID: https://orcid.org/0000-0001-9634-4526)
- A. Mistry (ORCID: https://orcid.org/0000-0002-0951-0475)
- B. Dalena (ORCID: https://orcid.org/0000-0002-6808-2810)
- Adrian Oeftiger (ORCID: https://orcid.org/0000-0002-3856-2338)
- Carsten Welsch (ORCID: https://orcid.org/0000-0001-7085-0973)
Institutions
- University of Liverpool (GB)
- GSI Helmholtz Centre for Heavy Ion Research (DE)
- University of Malta (MT)
- Université Paris-Saclay (FR)
- European Spallation Source (SE)
- University of Oxford (GB)
Publication Details
- Journal
- Europhysics news
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epn/2025106
- Citations
- 1
- Primary Topic
- Particle Accelerators and Free-Electron Lasers
- Type
- article
- Field-Weighted Citation Impact
- 0.73