Editorial discusses AI's role in optimizing operations of particle accelerators, impacting various fields.
Particle accelerators are among the most sophisticated scientific instruments ever constructed. They generate, guide, and deliver beams of charged particles—electrons, protons, ions—across energy scales spanning many orders of magnitude, serving applications from fundamental physics discoveries to cancer treatment, materials characterization, and industrial processing. The operation, optimization, and design of these machines have traditionally relied on deep expertise in beam physics, electromagnetic engineering, vacuum technology, and control systems, accumulated over decades of incremental refinement.
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Ghiribi et al. (2026) studied this question.
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