219+
Papers Reviewed
15
Categories
Jul 2026
Last Updated
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Papers This Month

Overview

This living review provides a comprehensive survey of artificial intelligence and machine learning applications in particle accelerator science. As the field rapidly evolves, we continuously update this review to reflect the latest research, methodologies, and experimental results from facilities worldwide. Our goal is to serve as a central reference for researchers, operators, and engineers working at the intersection of AI/ML and accelerator physics.

Latest Additions

Recently added papers from July 2026

Beam-Level Nonlinear Compton Spectra via a Neural Network Surrogate Model
Antonina Timoshenko, Maxim Malakhov, Alexander Fedotov, et al. arXiv (2026)
Report on the Advanced Linear Collider Study Group (ALEGRO) Workshop 2026
L. Verra, P. Muggli, B. Cross, et al. arXiv (2026)
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