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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361 to 370 of 383 Results
2DCFD_Unet.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 712.5 MB - MD5: 1e514669fc4c637418e323dbb4c36485
Data
2D compressible NS eq pretrained model for Unet
2D_diff-react_NA_NA_0000.h5_PINN.pt-15000.pt
Jun 21, 2022 - PDEBench Pretrained Models
application/vnd.snesdev-page-table - 110.4 KB - MD5: 73485b5631060f71ed005289e5afd263
2D_diff-react_NA_NA_FNO.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 10.6 MB - MD5: bbd30d234bab163c976bd8ba91b7b797
2D_diff-react_NA_NA_Unet-1-step.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 89.0 MB - MD5: 7a9247245d5ca95c00f8b0add461a452
2D_diff-react_NA_NA_Unet-AR.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 89.0 MB - MD5: 151ceb5a7cfb8457813c8b00a8d331a6
2D_diff-react_NA_NA_Unet-PF-20.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 89.0 MB - MD5: 90a34e54319893009b1f77554857b588
2D_rdb_NA_NA_0000.h5_PINN.pt-15000.pt
Jun 21, 2022 - PDEBench Pretrained Models
application/vnd.snesdev-page-table - 110.8 KB - MD5: 081bcb70c3a3654d26d16353dd794990
2D_rdb_NA_NA_FNO.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 10.6 MB - MD5: e75d87abd5f6a7b777cb2f0e6a3a05c4
2D_rdb_NA_NA_Unet-1-step.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 89.0 MB - MD5: d083dcebdc5ae4e7fb8a7bd64b5ee2f5
2D_rdb_NA_NA_Unet-AR.pt
Jun 21, 2022 - PDEBench Pretrained Models
Unknown - 89.0 MB - MD5: f3bd8dda7b591bc2a2f3140bad7db9d0
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