Open Access
Table 3
FNO configuration.
| Frequency bins preserved | 32 |
| Num. Fourier layers | 4 |
| Fourier layer width | 32 |
| Lifting channel width | 256 |
| Projection channel width | 256 |
| Batch size (z) | 8 |
| Epochs trained | 75 |
| Learning rate | 0.004 |
| Learning rate scheduler | Cosine annealing (T = 25) |
| Gradient clipping | 100 |
| Optimiser | ADAM (default Pytorch config) |
| Loss function | H 1 |
| Maximum GPU memory used | 7.6 GB |
| Factorisation type | Tucker (rank = 0.42) |
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