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...
Saved in:
Main Authors | , , , , |
---|---|
Format | Journal Article |
Language | English |
Published |
17.09.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!