M. Sc. David Meier
AI for Computationally Intelligent Systems (AI4CIS)

- Telephone
- +49 561 804-6048
- Fax
- +49 561 804-6022
- meier.david[at]uni-kassel[dot]de
Publications
2023[ to top ]
- Reconstruction of incomplete X-ray diffraction pole figures of oligocrystalline materials using deep learning Scientific Reports. 13, 5410 (2023). https://doi.org/10.1038/s41598-023-31580-1.
2022[ to top ]
- Optimizing a superconducting radio-frequency gun using deep reinforcement learning Physical Review Accelerators and Beams. 25, 104604 (2022). https://doi.org/10.1103/PhysRevAccelBeams.25.104604.
- Artificial intelligence for online characterization of ultrashort X‑ray free‑electron laser pulses Scientific Reports. 12, 1–14 (2022). https://doi.org/10.1038/s41598-022-21646-x.
2021[ to top ]
- Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses arXiv e-prints. arXiv:2108.13979 (2021).
- AI - Based On The Fly Design of Experiments in Physics and Engineering In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 150–153. IEEE (2021). https://doi.org/10.1109/ACSOS-C52956.2021.00048.
2020[ to top ]
- Reconstruction of offsets of an electron gun using deep learning and an optimization algorithm In: Advances in Computational Methods for X-Ray Optics V. bll 71–77. SPIE (2020). https://doi.org/10.1117/12.2568001.
2016[ to top ]
- Distributed Resource Allocation as Co-Evolution Problem In: IEEE Congress on Evolutionary Computation (CEC). bll 1815–1822. IEEE, Vancouver, BC, Canada (2016). https://doi.org/10.1109/cec.2016.7744009.