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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