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Author: Q. Tang


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Reference
C.-K. Huang et al., “Modeling of Nonlinear Beam Dynamics via a Novel Particle-Mesh Method and Surrogate Models with Symplectic Neural Networks”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 462-464.
C. Huang et al., “Symplectic neural surrogate models for beam dynamics”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA078, pp. 2825-2828.
Q. Tang, “Symplectic neural network surrogate models for applications to beam dynamics”, presented at the 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, paper WEZD01, unpublished.
Q. Tang, C. Jin, Y. Liu, Q. L. Zhang, and Y. L. Zhao, “Development of High Power Density Photon Absorber for Super-B Sections in SSRF”, in Proc. MEDSI (MEDSI'23), Beijing, China, Nov. 2023, paper WEPPP044, pp. 215-218.
Y. L. Zhao, Y. Liu, Y. F. Liu, Q. Tang, and L. Yin, “Particle-Free Engineering in SHINE Superconducting Linac Vacuum System”, in Proc. MEDSI (MEDSI'23), Beijing, China, Nov. 2023, paper WEPPP045, pp. 219-221.


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