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[n]	F. F. Van der Veken, M. Giovannozzi, E. H. Maclean, C. E. Montanari, and G. Valentino, “Using Machine Learning to Improve Dynamic Aperture Estimates”, in Proc. IPAC'21, Campinas, Brazil, May 2021, pp. 134-137. doi:10.18429/JACoW-IPAC2021-MOPAB028

[n]	R. Paparella, M. Bertucci, A. Bosotti, and C. Pagani, “Coaxial Blade Tuner for European XFEL 3.9 GHz cavities”, in Proc. SRF'13, Paris, France, Sep. 2013, paper THP077, pp. 1101-1103. 

For LaTeX

%\cite{Van der Veken:IPAC21-MOPAB028} \bibitem{Van der Veken:IPAC21-MOPAB028} F. F. Van der Veken, M. Giovannozzi, E. H. Maclean, C. E. Montanari, and G. Valentino, \textquotedblleft{Using Machine Learning to Improve Dynamic Aperture Estimates}\textquotedblright, in \emph{Proc. IPAC’21}, Campinas, Brazil, May 2021, pp. 134--137. \doi{10.18429/JACoW-IPAC2021-MOPAB028} %\cite{Paparella:SRF13-THP077} \bibitem{Paparella:SRF13-THP077} R. Paparella, M. Bertucci, A. Bosotti, and C. Pagani, \textquotedblleft{Coaxial Blade Tuner for European XFEL 3.9 GHz cavities}\textquotedblright, in \emph{Proc. SRF’13}, Paris, France, Sep. 2013, paper THP077, pp. 1101--1103.

For BibTeX

@inproceedings{van der veken:ipac21-mopab028, author = {F. F. Van der Veken and M. Giovannozzi and E. H. Maclean and C. E. Montanari and G. Valentino}, title = {{Using Machine Learning to Improve Dynamic Aperture Estimates}}, booktitle = {Proc. IPAC'21}, pages = {134--137}, paper = {MOPAB028}, venue = {Campinas, Brazil, May 2021}, publisher = {JACoW Publishing, Geneva, Switzerland}, doi = {10.18429/JACoW-IPAC2021-MOPAB028}, url = {https://jacow.org/ipac2021/papers/MOPAB028.pdf}, language = {english} } @inproceedings{paparella:srf13-thp077, author = {R. Paparella and M. Bertucci and A. Bosotti and C. Pagani}, title = {{Coaxial Blade Tuner for European XFEL 3.9 GHz cavities}}, booktitle = {Proc. SRF'13}, pages = {1101--1103}, paper = {THP077}, venue = {Paris, France, Sep. 2013}, publisher = {JACoW Publishing, Geneva, Switzerland}, url = {https://jacow.org/SRF2013/papers/THP077.pdf}, language = {english} }

References

• F. F. Van der Veken, M. Giovannozzi, E. H. Maclean, C. E. Montanari, and G. Valentino, “Using Machine Learning to Improve Dynamic Aperture Estimates”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 134-137.
• R. Paparella, M. Bertucci, A. Bosotti, and C. Pagani, “Coaxial Blade Tuner for European XFEL 3.9 GHz cavities”, in Proc. 16th Int. Conf. RF Superconductivity (SRF'13), Paris, France, Sep. 2013, paper THP077, pp. 1101-1103.