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For Word

[n]	I. B. Issinsky and V. A. Mikhailov, “Conception of the 200 MeV/u Booster for the Nuclotron”, in Proc. PAC'91, San Francisco, CA, USA, May 1991, pp. 2886-2888. 

[n]	K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 983-986. doi:10.18429/JACoW-IPAC2022-TUPOST053

For LaTeX

%\cite{Issinsky:PAC91} \bibitem{Issinsky:PAC91} I. B. Issinsky and V. A. Mikhailov, \textquotedblleft{Conception of the 200 MeV/u Booster for the Nuclotron}\textquotedblright, in \emph{Proc. PAC’91}, San Francisco, CA, USA, May 1991, pp. 2886--2888. %\cite{Hwang:IPAC22-TUPOST053} \bibitem{Hwang:IPAC22-TUPOST053} K. Hwang \emph{et al.}, \textquotedblleft{Beam Tuning at the FRIB Front End Using Machine Learning}\textquotedblright, in \emph{Proc. IPAC’22}, Bangkok, Thailand, Jun. 2022, pp. 983--986. \url{doi:10.18429/JACoW-IPAC2022-TUPOST053}

For BibTeX

@inproceedings{issinsky:pac91, author = {I. B. Issinsky and V. A. Mikhailov}, title = {{Conception of the 200 MeV/u Booster for the Nuclotron}}, booktitle = {Proc. PAC'91}, pages = {2886--2888}, paper = {}, venue = {San Francisco, CA, USA, May 1991}, publisher = {JACoW Publishing, Geneva, Switzerland}, language = {english} } @inproceedings{hwang:ipac22-tupost053, author = {K. Hwang and others}, title = {{Beam Tuning at the FRIB Front End Using Machine Learning}}, booktitle = {Proc. IPAC'22}, pages = {983--986}, paper = {TUPOST053}, 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-TUPOST053}, url = {https://jacow.org/IPAC2022/papers/TUPOST053.pdf}, language = {english} }

References

• I. B. Issinsky and V. A. Mikhailov, “Conception of the 200 MeV/u Booster for the Nuclotron”, in Proc. 14th Particle Accelerator Conf. (PAC'91), San Francisco, CA, USA, May 1991, pp. 2886-2888.
• K. Hwang et al., “Beam Tuning at the FRIB Front End Using Machine Learning”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 983-986.