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[n]	I. Lobach and Y. Li, “Using Neural-Network ansatz for the generating function in the Hamilton-Jacobi equation to obtain symplectic transfer maps for elements with any magnetic field configuration”, presented at the IPAC'26, Deauville, France, May 2026, paper THV5302, unpublished. 

For LaTeX

%\cite{Lobach:IPAC26-THV5302} \bibitem{Lobach:IPAC26-THV5302} I. Lobach and Y. Li, \textquotedblleft{Using Neural-Network ansatz for the generating function in the Hamilton-Jacobi equation to obtain symplectic transfer maps for elements with any magnetic field configuration}\textquotedblright, presented at the IPAC’26, Deauville, France, May 2026, paper THV5302, unpublished.

For BibTeX

@unpublished{lobach:ipac26-thv5302, author = {I. Lobach and Y. Li}, title = {{Using Neural-Network ansatz for the generating function in the Hamilton-Jacobi equation to obtain symplectic transfer maps for elements with any magnetic field configuration}}, pages = {}, paper = {THV5302}, venue = {Deauville, France, May 2026}, intype = {presented at the}, series = {International Particle Accelerator Conference}, number = {16}, publisher = {JACoW Publishing, Geneva, Switzerland}, note = {presented at IPAC'26, Deauville, France, May 2026, paper THV5302, unpublished}, language = {english} }

References

• I. Lobach and Y. Li, “Using Neural-Network ansatz for the generating function in the Hamilton-Jacobi equation to obtain symplectic transfer maps for elements with any magnetic field configuration”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper THV5302, this conference.