Stuttgart Center for Simulation Science (SC SimTech)

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20,031 to 20,040 of 25,729 Results

PDEBench Pretrained Models Nov 30, 2023 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/DARUS-2987, DaRUS, V2 This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. In addition the dataset contains the pre-train...
advection_FNO-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 1.9 MB - MD5: e80f6e427a3a47802969856ea1ce56b1 DATA
advection_PINN-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 1.1 MB - MD5: 441102e4e3ee6cd725433d32fc2f78ed DATA
advection_Unet-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 111.1 MB - MD5: 7deebad46a2ea4eebfc1b297dd1ada08 DATA
burgers_FNO-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 1.9 MB - MD5: dccb09c3d0f93bf9508bcbc45ac1b8a6 DATA
burgers_PINN-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 1.1 MB - MD5: 5c6f6972b2cafd577738e025277446a3 DATA
burgers_Unet-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 115.5 MB - MD5: 19c31c5b28f890c91fddad750dcb8663 DATA
1D_Burgers_Sols_Nu0.001.hdf5 Nov 30, 2023 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: 44cb784d5a07aa2b1c864cabdcf625f9 DATA
1D_Burgers_Sols_Nu0.002.hdf5 Nov 30, 2023 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: edf1cd13622d151dfde3e4e5af7a95b4 DATA
1D_Burgers_Sols_Nu0.004.hdf5 Nov 30, 2023 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: 435e1fecb8a64a0b4563bb8d09f81c33 DATA

PDEBench Pretrained Models

Nov 30, 2023 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/DARUS-2987, DaRUS, V2

This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. In addition the dataset contains the pre-train...

advection_FNO-1.tar