Surrogate Modeling on Darcy flow Gaussian random field 10 groups (joint learning)
1.57Relative ErrorTransolver
Evaluation Results
| Method | Links | |
|---|---|---|
| TransolverTraining way=PDEs, Layer=4, Mode or Slice=32, Parameters=372129, Learning rate=0.001, Optimizer=Adam2026.05 | 1.57 | |
| TransolverTraining way=Data, Layer=4, Mode or Slice=32, Parameters=372129, Learning rate=0.001, Optimizer=Adam2026.05 | 2.12 | |
| FNOTraining way=PDEs, Layer=4, Mode or Slice=16, Parameters=4735073, Learning rate=0.001, Optimizer=Adam2026.05 | 5.59 | |
| FNOTraining way=Data, Layer=4, Mode or Slice=16, Parameters=4735073, Learning rate=0.001, Optimizer=Adam2026.05 | 9.62 |