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Just a small remark, I didn't really understand why the sciann_generator.py generates more samples than asked when I called DataGeneratorXY or DataGeneratorXYT class.
Finally, I think there is a problem in the generate_data function and especially with the generated data for the last boundary conditions (top edge) and I would replace
by x_bc_top = np.random.uniform(self.Xdomain[0], self.Xdomain[1], num_sample_per_edge) y_bc_top = np.full(num_sample_per_edge, self.Ydomain[1])
for both class.
Thanks
PS : Has someone already tried to add parametric variable in input of the PINN (material properties for example in order to create "a parametric solution") ? If yes, I would be interested to speak about it !
Florian
The text was updated successfully, but these errors were encountered:
Dear Ehsan,
Thanks a lot for your fantastic work !
Just a small remark, I didn't really understand why the sciann_generator.py generates more samples than asked when I called DataGeneratorXY or DataGeneratorXYT class.
Finally, I think there is a problem in the
generate_data
function and especially with the generated data for the last boundary conditions (top edge) and I would replacex_bc_top = np.random.uniform(self.Xdomain[0], self.Xdomain[1], num_sample-num_sample_per_edge)
y_bc_top = np.full(num_sample-num_sample_per_edge, self.Ydomain[1])
by
x_bc_top = np.random.uniform(self.Xdomain[0], self.Xdomain[1], num_sample_per_edge)
y_bc_top = np.full(num_sample_per_edge, self.Ydomain[1])
for both class.
Thanks
PS : Has someone already tried to add parametric variable in input of the PINN (material properties for example in order to create "a parametric solution") ? If yes, I would be interested to speak about it !
Florian
The text was updated successfully, but these errors were encountered: