3D isotropic turbulence prediction on 3D isotropic turbulence (test)
0.1725p Avg ErrorDil-ResNet
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Dil-ResNetTraining Protocol=Autoregressive (AR)2023.05 | 0.1725 | 0.2573 | 0.1143 | 0.1675 | 12.67 | 6.9 | |
| Dil-ResNetTraining Protocol=Latent Marching (LM)2023.05 | 0.1778 | 0.2448 | 0.125 | 0.1671 | 6.89 | 6.9 | |
| FactFormerTraining Protocol=Latent Marching (LM)2023.05 | 0.2545 | 0.3431 | 0.167 | 0.2218 | 1.31 | 5.1 | |
| FactFormerTraining Protocol=Autoregressive (AR)2023.05 | 0.2989 | 0.4407 | 0.1775 | 0.2594 | 2.68 | 5.1 | |
| F-FNO3DTraining Protocol=Autoregressive (AR)2023.05 | 0.3151 | 0.425 | 0.2298 | 0.2799 | 2.77 | 3 | |
| F-FNO3DTraining Protocol=Latent Marching (LM)2023.05 | 0.3264 | 0.4159 | 0.2303 | 0.285 | 1.37 | 3 | |
| FNO3DTraining Protocol=Latent Marching (LM)2023.05 | 0.4634 | 0.6522 | 0.3382 | 0.4735 | 0.91 | 509.8 | |
| FNO3DTraining Protocol=Autoregressive (AR)2023.05 | 0.808 | 1.1285 | 0.3967 | 0.6561 | 1.01 | 509.8 |