Surrogate Modeling of 1D Nonlinear PDEs on 1D Family of Nonlinear PDEs Scenario E1 1.0 (test)
0.51Accumulated Error (MSE)FNO-PF
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FNO-PFResolution (nt, nx)=(250, 50)2022.06 | 0.51 | — | — | — | |
| FNO-PFResolution (nt, nx)=(250, 100)2022.06 | 0.54 | — | — | — | |
| FNO-PFResolution (nt, nx)=(250, 40)2022.06 | 0.57 | — | — | — | |
| LE-PDEResolution (nt, nx)=(250, 100)2022.06 | 1.13 | 20 | 8 | 128 | |
| LE-PDEResolution (nt, nx)=(250, 40)2022.06 | 1.17 | 20 | 8 | 128 | |
| LE-PDEResolution (nt, nx)=(250, 50)2022.06 | 1.2 | 20 | 8 | 128 | |
| MP-PDEResolution (nt, nx)=(250, 40)2022.06 | 1.47 | 80 | — | 1,000 | |
| MP-PDEResolution (nt, nx)=(250, 100)2022.06 | 1.55 | 90 | — | 2,500 | |
| MP-PDEResolution (nt, nx)=(250, 50)2022.06 | 1.67 | 80 | — | 1,250 | |
| WENO5Resolution (nt, nx)=(250, 100)2022.06 | 2.02 | 1,900 | — | — | |
| WENO5Resolution (nt, nx)=(250, 50)2022.06 | 6.23 | 1,800 | — | — | |
| WENO5Resolution (nt, nx)=(250, 40)2022.06 | 9.63 | 1,700 | — | — | |
| FNO-RNNResolution (nt, nx)=(250, 40)2022.06 | 10.44 | — | — | — | |
| FNO-RNNResolution (nt, nx)=(250, 100)2022.06 | 11.93 | — | — | — | |
| FNO-RNNResolution (nt, nx)=(250, 50)2022.06 | 29.98 | — | — | — |