Joe's Notes
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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

      Hamilton-Jacobi equation

      The Hamilton-Jacobi equation lends itself to some very insightful (and beautiful) geometric and intuitive interpretations1.

      1

      Houchmandzadeh, B. (2020). The Hamilton–Jacobi equation: An alternative approach. American Journal of Physics, 88(5), 353–359. https://doi.org/10.1119/10.0000781