Physics Informed Data

How we can add physics into our models

CNRS
MEOM

State Representation + Architecture

  • Encoding:
    • Regularity, e.g. RK4
    • Symmetries, e.g. equivariant, invariant
    • Conservation Laws, e.g. conservation of mass, energy, rotational invariance
  • Operator Learning
  • Universal Differential Equations
    • incorporating NN into traditional PDE solvers

NerFs + Siren


Finite Difference + CNNs


Finite Volume + Neural Operators


Euler + ResNets