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Author: T. J. Kwan


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Reference
C. Huang, T. J. Kwan, D. Y. Shchegolkov, and E. I. Simakov, “Particle-In-Cell Modeling of Dielectric Wakefield Accelerator”, in Proc. North American Particle Accelerator Conf. (NAPAC'13), Pasadena, CA, USA, Sep.-Oct. 2013, paper MOPAC23, pp. 114-116.
C. Huang, B. E. Carlsten, and T. J. Kwan, “Synchrotron Radiation Near Field In 3D”, in Proc. North American Particle Accelerator Conf. (NAPAC'13), Pasadena, CA, USA, Sep.-Oct. 2013, paper TUPAC18, pp. 487-489.
E. I. Simakov, C. Huang, T. J. Kwan, and D. Y. Shchegolkov, “Shaping Electron Bunches for Ultra-bright Electron Beam Acceleration in Dielectric Loaded Waveguides”, in Proc. North American Particle Accelerator Conf. (NAPAC'13), Pasadena, CA, USA, Sep.-Oct. 2013, paper TUPMA13, pp. 613-615.
M. V. Fazio et al., “High-Current Relativistic Klystron Amplifier Development for Microsecond Pulse Lengths”, in Proc. 14th Particle Accelerator Conf. (PAC'91), San Francisco, CA, USA, May 1991, pp. 649-652.
C. Huang et al., “Modeling of Diamond Field-Emitter Arrays for High-Brightness Photocathode Applications”, in Proc. 38th Int. Free Electron Laser Conf. (FEL'17), Santa Fe, NM, USA, Aug. 2017, pp. 454-457.
F. Y. Li, B. E. Carlsten, R. Garimella, C. Huang, and T. J. Kwan, “Validation of a Novel Method for the Calculation of Near-Field Synchrotron Radiation”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 397-399.
C. Huang et al., “Physics of Electron Beam Generation and Dynamics From Diamond Field Emitter Arrays”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 2137-2139.
F. Y. Li, B. E. Carlsten, R. Garimella, C.-K. Huang, and T. J. Kwan, “Comparison of Numerical Methods for the Calculation of Synchrotron Radiation From Electrons”, presented at the North American Particle Accelerator Conf. (NAPAC'19), Lansing, MI, USA, Sep. 2019, paper WEXBA4, unpublished.
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.


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