Pu­bli­ka­tio­nen

[ 2022 ] [ 2021 ] [ 2020 ] [ 2016 ]

2022 [ nach oben ]

  • 1.
    Meier, D., Ramirez, L.V., Völker, J., Viefhaus, J., Sick, B., Hartmann, G.: Optimizing a superconducting radio-frequency gun using deep reinforcement learning. Physical Review Accelerators and Beams. 25, 104604 (2022).
     
  • 2.
    Dingel, K., Otto, T., Marder, L., Funke, L., Held, A., Savio, S., Hans, A., Hartmann, G., Meier, D., Viefhaus, J., Sick, B., Ehresmann, A., Ilchen, M., Helml, W.: Artificial intelligence for online characterization of ultrashort X‑ray free‑electron laser pulses. Scientific Reports. 12, 1–14 (2022).
     

2021 [ nach oben ]

  • 1.
    Dingel, K., Otto, T., Marder, L., Funke, L., Held, A., Savio, S., Hans, A., Hartmann, G., Meier, D., Viefhaus, J., Sick, B., Ehresmann, A., Ilchen, M., Helml, W.: Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses. arXiv e-prints. arXiv:2108.13979 (2021).
     
  • 2.
    Dingel, K., Liehr, A., Vogel, M., Degener, S., Meier, D., Niendorf, T., Ehresmann, A., Sick, B.: AI - Based On The Fly Design of Experiments in Physics and Engineering. Workshop on Self-Improving System Integration (SISSY), ACSOS. bll. 150–153. IEEE (2021).
     

2020 [ nach oben ]

  • 1.
    Meier, D., Hartmann, G., Völker, J., Viefhaus, J., Sick, B.: Reconstruction of offsets of an electron gun using deep learning and an optimization algorithm. Advances in Computational Methods for X-Ray Optics V. bll. 71–77. SPIE (2020).
     

2016 [ nach oben ]

  • 1.
    Tomforde, S., Meier, D., Stein, A., von Mammen, S.: Distributed Resource Allocation as Co-Evolution Problem. IEEE Congress on Evolutionary Computation (CEC). bll. 1815–1822. IEEE, Vancouver, BC, Canada (2016).