WIP sketch of Transformer inspired PINN (Physics inspired NN) to model gravity induced aceleration of highly discontinuous surface feature celestial bodies
We train the model on samples on acceleration readings based off a polyhedral gravity model
Based off the architecture described here Physics-informed neural networks for gravity field modeling of small bodies