# Symplectic integration of learned Hamiltonian systems

@article{Offen2022SymplecticIO, title={Symplectic integration of learned Hamiltonian systems}, author={Christian Offen and Sina Ober-Blobaum}, journal={Chaos}, year={2022}, volume={32 1}, pages={ 013122 } }

Hamiltonian systems are differential equations that describe systems in classical mechanics, plasma physics, and sampling problems. They exhibit many structural properties, such as a lack of attractors and the presence of conservation laws. To predict Hamiltonian dynamics based on discrete trajectory observations, the incorporation of prior knowledge about Hamiltonian structure greatly improves predictions. This is typically done by learning the system's Hamiltonian and then integrating the…

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