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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.

Data and Resources

Cite this as

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