A physics-informed neural network trained on a rarefied gas flow produces weights that look Gaussian and random, showing no obvious internal imprint of the Boltzmann equation it was trained to reproduce.
Although this interaction usually decays with the distance between the two regions, it cannot be ignored, no matter how far the interacting components are
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Is the end of Insight in Sight ?
A physics-informed neural network trained on a rarefied gas flow produces weights that look Gaussian and random, showing no obvious internal imprint of the Boltzmann equation it was trained to reproduce.