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Fluid Dynamics Prediction on Low-Re (test)

0.0185MAELLM4Fluid
0.0095580.0698510.1301450.190439Jan 29, 2026

Evaluation results

MethodLinks
LLM4FluidType=LLM, Trainable Parameters (MB)=1.0252026.010.01850.0007
LLM4Fluid + LoRAType=LLM, Trainable Parameters (MB)=5.0252026.010.01850.0007
CASAType=Transformer, Trainable Parameters (MB)=1.9112026.010.01850.0007
TimeBridgeType=Transformer, Trainable Parameters (MB)=1.7042026.010.01850.0007
SOFTSType=MLP, Trainable Parameters (MB)=1.6582026.010.01850.0007
TimeXerType=Transformer, Trainable Parameters (MB)=1.612026.010.01870.0007
HDMixerType=MLP, Trainable Parameters (MB)=1.6272026.010.01870.0007
CrossLinearType=MLP, Trainable Parameters (MB)=1.7092026.010.01880.0007
TimeMixerType=MLP, Trainable Parameters (MB)=1.7172026.010.01880.0007
WPMixerType=MLP, Trainable Parameters (MB)=1.5762026.010.01890.0007
FilterTSType=MLP, Trainable Parameters (MB)=1.6912026.010.01950.0007
Mamba2Type=Mamba, Trainable Parameters (MB)=1.5852026.010.020.0008
Time-LLMType=LLM, Trainable Parameters (MB)=2.7082026.010.0230.0011
LSTMType=RNN, Trainable Parameters (MB)=1.3772026.010.02330.0011
TimeKANType=KAN, Trainable Parameters (MB)=1.7782026.010.02350.0012
GPT4TSType=LLM, Trainable Parameters (MB)=3.4572026.010.03420.0028
ConvTimeNetType=CNN, Trainable Parameters (MB)=1.6872026.010.04830.0124
xLSTMType=RNN, Trainable Parameters (MB)=1.5922026.010.05860.0054
iTransformerType=Transformer, Trainable Parameters (MB)=1.552026.010.14040.0401
MambaType=Mamba, Trainable Parameters (MB)=1.5592026.010.24180.0882