This is a benchmark suite of PDE simulations comprising data for testing the performance of novel simulation or emulation methods against classical simulations.
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341 to 350 of 383 Results
Jul 26, 2022 - PDEBench Datasets
Hierarchical Data Format - 3.9 GB - MD5: c9c26e2b5f2d4bf5bcbbd4ba34fefd5e
Data
ReactionDiffusion dataset (1D)
Jul 26, 2022 - PDEBench Datasets
Hierarchical Data Format - 4.7 MB - MD5: adb2d95bf0d48e03bc0d8f4a2cbcd1c6
Data
CFD dataset (1D)
Unknown - 518.6 KB - MD5: 38479648059adc6d77bf7c60911ddc35
Data
Advection pre-trained model (FNO) (1D)
Unknown - 31.1 MB - MD5: e37c31313eefd5568c11af0c36075834
Data
Advection pre-trained model (Unet) (1D)
Unknown - 518.6 KB - MD5: 09510743c315a505c42e2da4c5313a9d
Data
Burgers pre-trained model (FNO) (1D)
Unknown - 31.1 MB - MD5: fedc814f213e17be7338e493c6cffabe
Data
Burgers pre-trained model (Unet) (1D)
TAR Archive - 2.6 MB - MD5: f0ad9bb3bc212fd905038a2cfcb5b190
Data
1D compressible NS eq pretrained model for FNO
TAR Archive - 1.6 MB - MD5: 06e1cb179ae9f4c45db41c31ef299288
Data
1D compressible NS eq pretrained model for PINN
Unknown - 522.1 KB - MD5: 341dc4818086d1bd2275aee63460d832
Data
CFD pre-trained model (FNO) (1D)
Unknown - 31.1 MB - MD5: 8a6b749897d882e0a9acefcb1ec98c36
Data
CFD pre-trained model (Unet) (1D)
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