This is the supplemental materials for ICLR2021 submission Fourier neural operator for parametric partial differential equations.

Contents of the supplement:

Fourier_Neural_Operator_final.pdf: the main paper.

ns_demo_v1e-3.mp4: an illustration of the Navier-Stokes equation data with viscosity=1e-3. Include three instances.
ns_demo_v1e-4.mp4: an illustration of the Navier-Stokes equation data with viscosity=1e-4. Include three instances.
ns_demo_v1e-5.mp4: an illustration of the Navier-Stokes equation data with viscosity=1e-5. Include three instances.

ns_sr_v1e-3: the prediction on the Navier-Stokes equation data with viscosity=1e-3 with the Fourier neural operator. It is trained on 1000 instances of 64*64*50 dataset and evaluated on a 256*256*200 grid. Include two instances.
ns_sr_v1e-4: the prediction on the Navier-Stokes equation data with viscosity=1e-4 with the Fourier neural operator. It is trained on 1000 instances of 64*64*20 dataset and evaluated on a 256*256*80 grid.Include two instances.