An error occurred!Please try again. Reduce the sharpness of the porous
object
corners or increase the object size.
OK
AboutThis webapp allows to experiment with the 2D models presented in the paper
Modeling diffusion in complex media through Physically Informed Neural Networks. The goal of
the
paper was the simulation of variable mixed fluid-porous domains using Physics Informed Neural
Networks.
The predictions are computed using the Physics Informed PointNet or the Physics Informed PointNet++.
Both the predictions obtained from the models and the ground truth simulations
resulting from OpenFOAM are available, together with the Mean Absolute Error and the Navier-Stokes-Darcy
equations
residuals, calculated using autograd.
To draw a custom porous object: