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Next:

  • Create model notebook
  • Implement training and inference over many t_n

Generally:

Implementation

  • Create model notebook
  • Implement training and inference over many t_n
  • Fix device handling in Network
    • In some places, tensors are created on the GPU
    • In some places, tensors are created on the CPU and the user is expected to move them to the GPU
  • Figure out sqrt(...) and pow(..., 2) bug in GaussianDistanceWeight

Writing

  • Check sign (+/-) fix on diffusivity, velocity in README and implementation
  • Remake figures in README.md
  • Rewrite in README how module works
    • "PINN for inverse vector-field parameterized PDE conditioned on solution"