Operator Learning on CFDBench
0.0022L2REAOT-POT-M
Evaluation Results
| Method | Links | |
|---|---|---|
| AOT-POT-MParams=124M, Evaluation Protocol=Fine-tuned2026.05 | 0.0022 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Fine-tuned2026.05 | 0.0024 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.003 | |
| DPOT-MParams=122M, Evaluation Protocol=Fine-tuned2026.05 | 0.0037 | |
| DPOT-SParams=30M, Evaluation Protocol=Fine-tuned2026.05 | 0.0038 | |
| DPOT-TParams=7M, Evaluation Protocol=Fine-tuned2026.05 | 0.0039 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Fine-tuned2026.05 | 0.004 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Fine-tuned2026.05 | 0.0041 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Fine-tuned2026.05 | 0.0042 | |
| AOT-POT-SParams=31M, Evaluation Protocol=Zero-shot2026.05 | 0.0049 | |
| AOT-POT-MParams=124M, Evaluation Protocol=Zero-shot2026.05 | 0.0054 | |
| DPOT-SParams=30M, Evaluation Protocol=Zero-shot2026.05 | 0.007 | |
| FFNOParams=1.3M, Evaluation Protocol=Individually trained2026.05 | 0.0071 | |
| MoE-POT-SParams=90M, Evaluation Protocol=Zero-shot2026.05 | 0.0075 | |
| DPOT-MParams=122M, Evaluation Protocol=Zero-shot2026.05 | 0.0075 | |
| FNOParams=0.5M, Evaluation Protocol=Individually trained2026.05 | 0.0076 | |
| AOT-POT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0078 | |
| MoE-POT-MParams=288M, Evaluation Protocol=Zero-shot2026.05 | 0.0082 | |
| GNOTParams=1.8M, Evaluation Protocol=Individually trained2026.05 | 0.0088 | |
| DPOT-TParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0095 | |
| OformerParams=1.9M, Evaluation Protocol=Individually trained2026.05 | 0.0102 | |
| MoE-POT-TParams=17M, Evaluation Protocol=Zero-shot2026.05 | 0.0103 | |
| GK-TParams=1.6M, Evaluation Protocol=Individually trained2026.05 | 0.0105 | |
| FNO-mParams=7M, Evaluation Protocol=Zero-shot2026.05 | 0.0274 | |
| UNetParams=25M, Evaluation Protocol=Individually trained2026.05 | 0.209 |