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ResearchFormerly WizWand

Rollout Prediction on Cahn-Hilliard 3D (Accuracy and Timing)

0.0388Relative L2 Error @ t=50HAMNO
0.0235120.1267060.22990.333094Jun 10, 2026
Updated 4mo ago

Evaluation results

MethodLinks
HAMNONtrain=100, lambda=0.25, Tag=Hybrid2026.060.03880.0503638.141.9062
HAMNONtrain=50, lambda=1.0, Tag=Pure Phys.2026.060.04610.0597369.441.8227
HAMNONtrain=100, lambda=1.0, Tag=Pure Phys.2026.060.04610.0597368.671.8738
HAMNONtrain=50, lambda=0.25, Tag=Hybrid2026.060.04750.0682365.311.9128
DeepONetNtrain=50, lambda=1.0, Tag=Pure Phys.2026.060.09340.118321.261.163
DeepONetNtrain=100, lambda=1.0, Tag=Pure Phys.2026.060.09340.118320.951.1623
DeepONetNtrain=50, lambda=0.25, Tag=Hybrid2026.060.09910.131301.621.126
HAMNONtrain=100, lambda=0, Tag=Pure Data2026.060.1040.181198.521.8736
DeepONetNtrain=100, lambda=0, Tag=Pure Data2026.060.1170.202174.091.1613
DeepONetNtrain=100, lambda=0.25, Tag=Hybrid2026.060.1210.171535.361.1646
FFNONtrain=50, lambda=0.25, Tag=Hybrid2026.060.130.189342.321.5464
FFNONtrain=50, lambda=1.0, Tag=Pure Phys.2026.060.130.183348.411.563
FFNONtrain=100, lambda=1.0, Tag=Pure Phys.2026.060.130.183346.521.5454
DeepONetNtrain=50, lambda=0, Tag=Pure Data2026.060.1430.247102.791.1285
FFNONtrain=100, lambda=0.25, Tag=Hybrid2026.060.160.207615.761.5893
FFNONtrain=100, lambda=0, Tag=Pure Data2026.060.170.29187.051.5477
FFNONtrain=50, lambda=0, Tag=Pure Data2026.060.1910.325106.211.5145
HAMNONtrain=50, lambda=0, Tag=Pure Data2026.060.1910.29113.541.8595
FNONtrain=100, lambda=0, Tag=Pure Data2026.060.3140.43104.670.3174
FNONtrain=50, lambda=0, Tag=Pure Data2026.060.3520.47958.280.315
FNONtrain=50, lambda=0.25, Tag=Hybrid2026.060.4130.525192.550.318
FNONtrain=100, lambda=0.25, Tag=Hybrid2026.060.4160.532332.640.311
FNONtrain=50, lambda=1.0, Tag=Pure Phys.2026.060.4210.542197.080.3217
FNONtrain=100, lambda=1.0, Tag=Pure Phys.2026.060.4210.542194.820.3148