|
R. Roussel et al., “Advancements in backwards differentiable beam dynamics simulations for accelerator design, model calibration, and machine learning”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 768-771. |
|
C. Xu et al., “Updates to the differentiable accelerator simulation code Cheetah”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPS034, unpublished. |
|
Y. Sun et al., “Machine learning for calibration drift forecasting in superconducting RF cavities”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPS135, pp. 3230-3233. |
|
A. Eichler et al., “Enhancing quench detection in SRF cavities at the EuXFEL: Towards machine learning approaches and practical challenges”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPS134, pp. 3226-3229. |
|
C. Xu et al., “Efficient data-driven model predictive control for online accelerator tuning”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM116, pp. 2931-2934. |
|
A. Santamaria Garcia, A. Eichler, S. Hirlaender, J. Kaiser, and C. Xu, “Reinforcement learning in particle accelerators”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THYD1, pp. 2481-2486. |
