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Author: Z. Zhang


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Reference
L. Hajdu et al., “Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1008-1012.
L. Hajdu et al., “Image processing with ML for automated tuning of the NASA Space Radiation Laboratory beam line”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD070, unpublished.
R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, “Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper WEPD086, unpublished.
R. Roussel, D. Kennedy, A. Edelen, N. Kuklev, S. Miskovich, and Z. Zhang, “Xopt and Badger: a machine learning ecosystem for real-time accelerator control and optimization”, in Proc. 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, pp. 1271-1275.
J. Zhao et al., “Cavities mass production for SHINE at HERT”, presented at the 22st International Conference on RF Superconductivity (SRF'25), Tokyo, Japan, Sep. 2025, paper MOP54, unpublished.
J. Zhu, H. Ding, G. Liu, J. Yang, Z. Zhang, and W. Zhang, “Design of an MTCA.4-Based LLRF tuning controller for cryomodules at S3FEL”, presented at the 22st International Conference on RF Superconductivity (SRF'25), Tokyo, Japan, Sep. 2025, paper TUP69, unpublished.
Z. Zhang et al., “Preliminary design of continuous wave low-level RF systems for S3FEL”, presented at the 22st International Conference on RF Superconductivity (SRF'25), Tokyo, Japan, Sep. 2025, paper THP78, unpublished.
T. Hellert et al., “Agentic AI as a Middle Layer for Accelerator Control: Multi-Facility Deployment and Early Results”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6324, this conference.
J.-L. Vay et al., “Overview of the US DOE Multi-Office particle Accelerator Team (MOAT) project”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOV6302, this conference.
T. Hellert et al., “Status of Osprey: A Framework for Agentic AI in Control Systems”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6322, this conference.


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