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[n]	C. Emma et al., “Machine Learning-Based Longitudinal Phase Space Prediction of Two-Bunch Operation at FACET-II”, in Proc. IBIC'19, Malmö, Sweden, Sep. 2019, pp. 679-683. doi:10.18429/JACoW-IBIC2019-THBO01

[n]	X. Guo et al., “RF and Mechanical Design of a 1.3 GHz 7-cell High-current Superconducting Cavity”, presented at the SRF'25, Tokyo, Japan, Sep. 2025, paper MOP53, unpublished. 

[n]	N. Kuklev, M. Borland, L. Emery, Y. Hidaka, H. Shang, and Y. Sun, “High efficiency multi-objective Bayesian algorithm for APS-U nonlinear dynamics tuning”, in Proc. IPAC'25, Taipei, Taiwan, Jun. 2025, pp. 2905-2908. doi:10.18429/JACoW-IPAC2025-THPM102

[n]	N. Kuklev et al., “ML-enhanced commissioning of the APS-U accelerator complex”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 1778-1781. doi:10.18429/JACoW-IPAC2024-TUPS50

For LaTeX

%\cite{Emma:IBIC19-THBO01} \bibitem{Emma:IBIC19-THBO01} C. Emma \emph{et al.}, \textquotedblleft{Machine Learning-Based Longitudinal Phase Space Prediction of Two-Bunch Operation at FACET-II}\textquotedblright, in \emph{Proc. IBIC’19}, Malmö, Sweden, Sep. 2019, pp. 679--683. \doi{10.18429/JACoW-IBIC2019-THBO01} %\cite{Guo:SRF25-MOP53} \bibitem{Guo:SRF25-MOP53} X. Guo \emph{et al.}, \textquotedblleft{RF and Mechanical Design of a 1.3 GHz 7-cell High-current Superconducting Cavity}\textquotedblright, presented at the SRF’25, Tokyo, Japan, Sep. 2025, paper MOP53, unpublished. %\cite{Kuklev:IPAC25-THPM102} \bibitem{Kuklev:IPAC25-THPM102} N. Kuklev, M. Borland, L. Emery, Y. Hidaka, H. Shang, and Y. Sun, \textquotedblleft{High efficiency multi-objective Bayesian algorithm for APS-U nonlinear dynamics tuning}\textquotedblright, in \emph{Proc. IPAC’25}, Taipei, Taiwan, Jun. 2025, pp. 2905--2908. \doi{10.18429/JACoW-IPAC2025-THPM102} %\cite{Kuklev:IPAC24-TUPS50} \bibitem{Kuklev:IPAC24-TUPS50} N. Kuklev \emph{et al.}, \textquotedblleft{ML-enhanced commissioning of the APS-U accelerator complex}\textquotedblright, in \emph{Proc. IPAC’24}, Nashville, TN, USA, May 2024, pp. 1778--1781. \doi{10.18429/JACoW-IPAC2024-TUPS50}

For BibTeX

@inproceedings{emma:ibic19-thbo01, author = {C. Emma and others}, title = {{Machine Learning-Based Longitudinal Phase Space Prediction of Two-Bunch Operation at FACET-II}}, booktitle = {Proc. IBIC'19}, pages = {679--683}, paper = {THBO01}, venue = {Malmö, Sweden, Sep. 2019}, publisher = {JACoW Publishing, Geneva, Switzerland}, doi = {10.18429/JACoW-IBIC2019-THBO01}, url = {https://jacow.org/ibic2019/papers/THBO01.pdf}, language = {english} } @unpublished{guo:srf25-mop53, author = {X. Guo and others}, title = {{RF and Mechanical Design of a 1.3 GHz 7-cell High-current Superconducting Cavity}}, pages = {}, paper = {MOP53}, venue = {Tokyo, Japan, Sep. 2025}, intype = {presented at the}, series = {Int. Conf. on RF Superconductivity}, number = {22}, publisher = {JACoW Publishing, Geneva, Switzerland}, issn = {2673-5504}, note = {presented at SRF'25, Tokyo, Japan, Sep. 2025, paper MOP53, unpublished}, language = {english} } @inproceedings{kuklev:ipac25-thpm102, author = {N. Kuklev and M. Borland and L. Emery and Y. Hidaka and H. Shang and Y. Sun}, title = {{High efficiency multi-objective Bayesian algorithm for APS-U nonlinear dynamics tuning}}, booktitle = {Proc. IPAC'25}, pages = {2905--2908}, paper = {THPM102}, venue = {Taipei, Taiwan}, series = {International Particle Accelerator Conference}, number = {16}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {11}, year = {2025}, issn = {2673-5490}, isbn = {978-3-95-450248-6}, doi = {10.18429/JACoW-IPAC2025-THPM102}, language = {english} } @inproceedings{kuklev:ipac24-tups50, author = {N. Kuklev and others}, title = {{ML-enhanced commissioning of the APS-U accelerator complex}}, booktitle = {Proc. IPAC'24}, pages = {1778--1781}, paper = {TUPS50}, venue = {Nashville, TN, USA}, series = {International Particle Accelerator Conference}, number = {15}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {7}, year = {2024}, issn = {2673-5490}, isbn = {978-3-95-450247-9}, doi = {10.18429/JACoW-IPAC2024-TUPS50}, language = {english} }

References

• C. Emma et al., “Machine Learning-Based Longitudinal Phase Space Prediction of Two-Bunch Operation at FACET-II”, in Proc. 8th Int. Beam Instrumentation Conf. (IBIC'19), Malmö, Sweden, Sep. 2019, pp. 679-683.
• X. Guo et al., “RF and Mechanical Design of a 1.3 GHz 7-cell High-current Superconducting Cavity”, presented at the 22st International Conference on RF Superconductivity (SRF'25), Tokyo, Japan, Sep. 2025, paper MOP53, unpublished.
• N. Kuklev, M. Borland, L. Emery, Y. Hidaka, H. Shang, and Y. Sun, “High efficiency multi-objective Bayesian algorithm for APS-U nonlinear dynamics tuning”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM102, pp. 2905-2908.
• N. Kuklev et al., “ML-enhanced commissioning of the APS-U accelerator complex”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS50, pp. 1778-1781.