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Survey on the Techniques of Physics-Informed Machine Learning
Physics-Informed Machine Learning
Physics Insight
first integrals
Hamilton-Jacobi equation
in involution
Infinitesimal Canonical Transformation
Liouville integrable systems
Poisson Bracket
Reference Notes
greydanus2019 Hamiltonian Neural Networks
hornik1989 Multilayer feedforward networks are universal approximators
Action-Angle Networks
Dimension-Preserving Networks and BuckiNet
Generating Function Neural Network
Hamiltonian Neural Networks
Hamiltonian Neural Networks and related architectures
Other architectures
Solving Differential Equations using Neural Networks
Symbolic Regression Methods
SympNet
SympNet and other symplectic, structure-preserving networks
On this page
Solving Differential Equations using Neural Networks
Neural ODE
ResNet
"Data driven governing equations approximation using deep neural networks" proposes ResNet, Recurrent ResNet, and Recursive ResNet for approximating dynamical systems