"Machine learning accelerated computational fluid dynamics". In this machine-learning-boosted simulation, in each time-step, the neural network generates a vector at each grid location based on the current velocity field of the fluid being simulated there. The neural network is a convolutional neural network, by the way, to ensure that the fluid is simulated the same way everywhere ("translation invariance"). https://arxiv.org/abs/2102.01010
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