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[n]	J. A. D. Flowerdew, D. J. Kelliher, S. Machida, and S. L. Sheehy, “Exploring Quasi-Integrable Optics with the IBEX Paul Trap”, in Proc. HB'21, Batavia, IL, USA, Oct. 2021, pp. 214-218. doi:10.18429/JACoW-HB2021-THAC3

[n]	J. A. Diaz Cruz et al., “Machine Learning Training for HOM reduction and Emittance Preservation in a TESLA-type Cryomodule at FAST”, in Proc. IPAC'21, Campinas, Brazil, May 2021, pp. 916-919. doi:10.18429/JACoW-IPAC2021-MOPAB289

[n]	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. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 596-599. doi:10.18429/JACoW-IPAC2022-MOPOTK056

[n]	J. Wan and Y. Jiao, “Current Study of Applying Machine Learning to Accelerator Physics at IHEP”, in Proc. IPAC'21, Campinas, Brazil, May 2021, pp. 1477-1480. doi:10.18429/JACoW-IPAC2021-TUPAB052

For LaTeX

%\cite{Flowerdew:HB21-THAC3} \bibitem{Flowerdew:HB21-THAC3} J. A. D. Flowerdew, D. J. Kelliher, S. Machida, and S. L. Sheehy, \textquotedblleft{Exploring Quasi-Integrable Optics with the IBEX Paul Trap}\textquotedblright, in \emph{Proc. HB’21}, Batavia, IL, USA, Oct. 2021, pp. 214--218. \doi{10.18429/JACoW-HB2021-THAC3} %\cite{Diaz Cruz:IPAC21-MOPAB289} \bibitem{Diaz Cruz:IPAC21-MOPAB289} J. A. Diaz Cruz \emph{et al.}, \textquotedblleft{Machine Learning Training for HOM reduction and Emittance Preservation in a TESLA-type Cryomodule at FAST}\textquotedblright, in \emph{Proc. IPAC’21}, Campinas, Brazil, May 2021, pp. 916--919. \doi{10.18429/JACoW-IPAC2021-MOPAB289} %\cite{YLi:IPAC22-MOPOTK056} \bibitem{YLi:IPAC22-MOPOTK056} Y. Li, Y. Jiao, A. Liu, R. S. Rainer, and J. Wan, \textquotedblleft{Data-Driven Chaos Indicator for Nonlinear Dynamics and Applications on Storage Ring Lattice Design}\textquotedblright, in \emph{Proc. IPAC’22}, Bangkok, Thailand, Jun. 2022, pp. 596--599. \doi{10.18429/JACoW-IPAC2022-MOPOTK056} %\cite{Wan:IPAC21-TUPAB052} \bibitem{Wan:IPAC21-TUPAB052} J. Wan and Y. Jiao, \textquotedblleft{Current Study of Applying Machine Learning to Accelerator Physics at IHEP}\textquotedblright, in \emph{Proc. IPAC’21}, Campinas, Brazil, May 2021, pp. 1477--1480. \doi{10.18429/JACoW-IPAC2021-TUPAB052}

For BibTeX

@inproceedings{flowerdew:hb21-thac3, author = {J. A. D. Flowerdew and D. J. Kelliher and S. Machida and S. L. Sheehy}, title = {{Exploring Quasi-Integrable Optics with the IBEX Paul Trap}}, booktitle = {Proc. HB'21}, pages = {214--218}, paper = {THAC3}, venue = {Batavia, IL, USA}, series = {ICFA Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams}, number = {64}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {4}, year = {2022}, issn = {2673-5571}, isbn = {978-3-95-450225-7}, doi = {10.18429/JACoW-HB2021-THAC3}, language = {english} } @inproceedings{diaz cruz:ipac21-mopab289, author = {J. A. Diaz Cruz and others}, title = {{Machine Learning Training for HOM reduction and Emittance Preservation in a TESLA-type Cryomodule at FAST}}, booktitle = {Proc. IPAC'21}, pages = {916--919}, paper = {MOPAB289}, venue = {Campinas, Brazil, May 2021}, publisher = {JACoW Publishing, Geneva, Switzerland}, doi = {10.18429/JACoW-IPAC2021-MOPAB289}, url = {https://jacow.org/ipac2021/papers/MOPAB289.pdf}, language = {english} } @inproceedings{yli:ipac22-mopotk056, author = {Y. Li and Y. Jiao and A. Liu and R. S. Rainer and J. Wan}, title = {{Data-Driven Chaos Indicator for Nonlinear Dynamics and Applications on Storage Ring Lattice Design}}, booktitle = {Proc. IPAC'22}, pages = {596--599}, paper = {MOPOTK056}, venue = {Bangkok, Thailand}, series = {International Particle Accelerator Conference}, number = {13}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2022}, issn = {2673-5490}, isbn = {978-3-95-450227-1}, doi = {10.18429/JACoW-IPAC2022-MOPOTK056}, url = {https://jacow.org/IPAC2022/papers/MOPOTK056.pdf}, language = {english} } @inproceedings{wan:ipac21-tupab052, author = {J. Wan and Y. Jiao}, title = {{Current Study of Applying Machine Learning to Accelerator Physics at IHEP}}, booktitle = {Proc. IPAC'21}, pages = {1477--1480}, paper = {TUPAB052}, venue = {Campinas, Brazil, May 2021}, publisher = {JACoW Publishing, Geneva, Switzerland}, doi = {10.18429/JACoW-IPAC2021-TUPAB052}, url = {https://jacow.org/ipac2021/papers/TUPAB052.pdf}, language = {english} }

References

• J. A. D. Flowerdew, D. J. Kelliher, S. Machida, and S. L. Sheehy, “Exploring Quasi-Integrable Optics with the IBEX Paul Trap”, in Proc. 64th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams (HB'21), Batavia, IL, USA, Oct. 2021, paper THAC3, pp. 214-218.
• J. A. Diaz Cruz et al., “Machine Learning Training for HOM reduction and Emittance Preservation in a TESLA-type Cryomodule at FAST”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 916-919.
• 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.
• 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.