CITATION.bib

@article{kaiser2024cheetah,
  title     = {Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simulations},
  author    = {Kaiser, Jan and Xu, Chenran and Eichler, Annika and Santamaria Garcia, Andrea},
  year      = 2024,
  month     = {May},
  journal   = {Phys. Rev. Accel. Beams},
  publisher = {American Physical Society},
  volume    = 27,
  pages     = {054601},
  doi       = {10.1103/PhysRevAccelBeams.27.054601},
  url       = {https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.054601},
  issue     = 5,
  numpages  = 17
}
@inproceedings{stein2022accelerating,
  title     = {Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications},
  author    = {Stein, Oliver and Kaiser, Jan and Eichler, Annika},
  year      = 2022,
  booktitle = {Proceedings of the 13th International Particle Accelerator Conference}
}