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Author: S. Zhao


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Reference
J. Wan, S. Zhao, Y. Hao, W. Chang, and H. Ao, “Machine learning enabled model predictive control for the resonance frequency of the FRIB RFQ”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 338-340.
W. Chang et al., “Cryomodule operation experience for the FRIB continuous-wave superconducting linac”, presented at the 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, paper TUPB008, unpublished.
S. Lidia et al., “Wide dynamic range diagnostics system for primary and secondary beams at FRIB”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 583-588.
X. Guo et al., “Electromagnetic-thermal coupling study of the SHINE injector cavity”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper WEPB070, this conference.
S. Zhao, D. Morris, and S. Kunjir, “A versatile low level RF controller design for FRIB and extended projects”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPS136, this conference.
J. Wan, W. Chang, S. Zhao, and Y. Hao, “Machine learning-based model predictive control of the FRIB SRF”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM011, this conference.


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