Accelerating Eulerian Fluid Simulation With Convolutional Networks — mentioned by n00b101

Wed, 23 Nov 2016 03:56:29 GMT

In case anyone is wondering, the end-to-end fluid dynamics simulation is not achieved by a neural network alone here (though the authors claim that is possible). If I understand the paper [1] correctly, they used Convolution Neural Network (ConvNet) to speed up a Navier-Stokes Partial Differential Equation (PDE) solver. Specifically, they are solving "incompressible flow" Navier-Stokes equations. In each time step, the solver performs an "advection" update followed by a "pressure projection" step. This "pressure projection" step involves solving a "Poisson equation," which is computationally…

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Accelerating Eulerian Fluid Simulation With Convolutional Networks · HackerPapers discussions

Accelerating Eulerian Fluid Simulation With Convolutional Networks — mentioned by n00b101