Hamiltonian Neural Networks for Solving Differential Equations

doi:doi:10.57702/vxk6bz20

Hamiltonian Neural Networks for Solving Differential Equations

The Hamiltonian neural network architecture is used to solve DE systems. The Hamiltonian NN is an evolution of previously used unsupervised NNs for finding solutions to DEs that satisfy boundary and initial conditions.

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Marios Mattheakis, David Sondak, Akshunna S. Dogra, Pavlos Protopapas (2025). Dataset: Hamiltonian Neural Networks for Solving Differential Equations. https://doi.org/10.57702/vxk6bz20

DOI retrieved: January 3, 2025

Additional Info

Field	Value
Created	January 3, 2025
Last update	January 3, 2025
Defined In	https://doi.org/10.1103/PhysRevE.105.065305
Author	Marios Mattheakis
More Authors	David Sondak Akshunna S. Dogra Pavlos Protopapas