Learning Generalized Hamiltonians using fully Symplectic Mappings

Many important physical systems can be described as the evolution of a Hamiltonian system, which has the important property of being conservative, that is, energy is conserved throughout the evolution. Physics Informed Neural Networks and in particular Hamiltonian Neural Networks have emerged as a m...

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Bibliographic Details
Main Authors Choudhary, Harsh, Gupta, Chandan, kungrutsev, Vyacheslav, Leok, Melvin, Korpas, Georgios
Format Journal Article
LanguageEnglish
Published 17.09.2024
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