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[n]	S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 886-888. doi:10.18429/JACoW-IPAC2024-MOPS69

[n]	M. Yadav et al., “Gas Sheet Diagnostics Using Particle in Cell Code”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 410-413. doi:10.18429/JACoW-IPAC2022-MOPOPT066

For LaTeX

%\cite{Kuroguchi:IPAC24-MOPS69} \bibitem{Kuroguchi:IPAC24-MOPS69} S. Kuroguchi \emph{et al.}, \textquotedblleft{Harnessing machine learning for the optimal design of ILC e-driven positron source}\textquotedblright, in \emph{Proc. IPAC’24}, Nashville, TN, USA, May 2024, pp. 886--888. \doi{10.18429/JACoW-IPAC2024-MOPS69} %\cite{Yadav:IPAC22-MOPOPT066} \bibitem{Yadav:IPAC22-MOPOPT066} M. Yadav \emph{et al.}, \textquotedblleft{Gas Sheet Diagnostics Using Particle in Cell Code}\textquotedblright, in \emph{Proc. IPAC’22}, Bangkok, Thailand, Jun. 2022, pp. 410--413. \doi{10.18429/JACoW-IPAC2022-MOPOPT066}

For BibTeX

@inproceedings{kuroguchi:ipac24-mops69, author = {S. Kuroguchi and others}, title = {{Harnessing machine learning for the optimal design of ILC e-driven positron source}}, booktitle = {Proc. IPAC'24}, pages = {886--888}, paper = {MOPS69}, 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-MOPS69}, language = {english} } @inproceedings{yadav:ipac22-mopopt066, author = {M. Yadav and others}, title = {{Gas Sheet Diagnostics Using Particle in Cell Code}}, booktitle = {Proc. IPAC'22}, pages = {410--413}, paper = {MOPOPT066}, 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-MOPOPT066}, url = {https://jacow.org/IPAC2022/papers/MOPOPT066.pdf}, language = {english} }

References

• S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS69, pp. 886-888.
• M. Yadav et al., “Gas Sheet Diagnostics Using Particle in Cell Code”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 410-413.