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Fluid Dynamics Prediction on High-Re (test)

0.0514MAELLM4Fluid + LoRA
0.0413390.1091150.176890.244665Jan 29, 2026

Evaluation results

MethodLinks
LLM4Fluid + LoRAType=LLM, Trainable Parameters (MB)=5.0252026.010.05140.0058
LLM4FluidType=LLM, Trainable Parameters (MB)=1.0252026.010.05150.0059
LSTMType=RNN, Trainable Parameters (MB)=1.3772026.010.0520.0061
Mamba2Type=Mamba, Trainable Parameters (MB)=1.5852026.010.05260.0063
FilterTSType=MLP, Trainable Parameters (MB)=1.6912026.010.05280.0063
HDMixerType=MLP, Trainable Parameters (MB)=1.6272026.010.05290.0062
TimeBridgeType=Transformer, Trainable Parameters (MB)=1.7042026.010.05410.0067
CASAType=Transformer, Trainable Parameters (MB)=1.9112026.010.05430.0065
SOFTSType=MLP, Trainable Parameters (MB)=1.6582026.010.05630.0072
TimeMixerType=MLP, Trainable Parameters (MB)=1.7172026.010.05660.0072
TimeKANType=KAN, Trainable Parameters (MB)=1.7782026.010.05720.0074
Time-LLMType=LLM, Trainable Parameters (MB)=2.7082026.010.05730.0074
CrossLinearType=MLP, Trainable Parameters (MB)=1.7092026.010.05740.0073
MambaType=Mamba, Trainable Parameters (MB)=1.5592026.010.05790.0073
TimeXerType=Transformer, Trainable Parameters (MB)=1.612026.010.05810.0076
GPT4TSType=LLM, Trainable Parameters (MB)=3.4572026.010.07530.0125
xLSTMType=RNN, Trainable Parameters (MB)=1.5922026.010.07680.0123
ConvTimeNetType=CNN, Trainable Parameters (MB)=1.6872026.010.10350.0438
WPMixerType=MLP, Trainable Parameters (MB)=1.5762026.010.13850.0461
iTransformerType=Transformer, Trainable Parameters (MB)=1.552026.010.30240.1766