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For Word

[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, this conference.

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, this conference.

For BibTeX

@conference{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}, intype = {presented at the}, series = {International Particle Accelerator Conference}, publisher = {JACoW Publishing, Geneva, Switzerland}, note = {presented at IPAC'26, Deauville, France, May 2026, paper THV5302, this conference}, language = {english} }

Use Complete Form

Metadata

Paper 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
Conference: 17th Int. Particle Accelerator Conf. (IPAC'26)
Paper ID: THV5302
Original Author String: I. Lobach, Y. Li

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