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J. Wan and Y. Jiao, “Current Study of Applying Machine Learning to Accelerator Physics at IHEP”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 1477-1480. |
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J. Wan et al., “Prototype Design of Wire Scanner for SHINE”, in Proc. 9th Int. Beam Instrumentation Conf. (IBIC'20), Santos, Brazil, Sep. 2020, pp. 285-287. |
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J. Wan, S. Zhao, Y. Hao, W. Chang, and H. Ao, “Machine learning enabled model predictive control of the FRIB RFQ”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS57, this conference. |
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J. Wan, Y. Hao, C. Ratcliff, J. Qiang, and Y.-K. Kan, “Developing nested auto-differentiation tracking code for beam dynamics optimization”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPR59, this conference. |
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L. W. Lai, F. Z. Chen, Y. B. Leng, J. Wan, T. Wu, and Y. M. Zhou, “Status of Digital BPM Signal Processor for SHINE”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 3430-3433. |
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X. Lu et al., “Development progress of high-level applications for the HEPS”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPA125, pp. 4259-4261. |
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Y. Jiao et al., “Progress of Lattice Design and Physics Studies on the High Energy Photon Source”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 229-232. |
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Y. Jiao et al., “Progress of physics studies and commissioning preparations for the High Energy Photon Source”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPM002, pp. 980-983. |
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Y. Li, Y. Jiao, A. Liu, R. S. Rainer, and J. Wan, “Data-Driven Chaos Indicator for Nonlinear Dynamics and Applications on Storage Ring Lattice Design”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 596-599. |
