A pressure-Poisson objective combined with equality-constrained neural networks and adaptive viscosity enables unsupervised simulation of high-Reynolds-number incompressible flows including spontaneous vortex shedding.
Calhoun, A cartesian grid method for solving the two-dimensional streamfunction- vorticity equations in irregular regions, Journal of computational physics 176 (2002) 231–275
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Unsupervised simulation of incompressible flows with physics- and equality- constrained artificial neural networks
A pressure-Poisson objective combined with equality-constrained neural networks and adaptive viscosity enables unsupervised simulation of high-Reynolds-number incompressible flows including spontaneous vortex shedding.