1 to 10 of 236 Results
RAR Archive - 532.3 MB -
MD5: 2f480b77c9db7c0b3fce17eeddc4530c
3d matrices containing the gas path development in time along 3rd-dimension |
RAR Archive - 2.9 MB -
MD5: 0c23320bdad7b2b427d4ba191b6e77c3
2d arrays, containing col1: loop counter number and col2: number of blocks invaded. |
MATLAB Data - 5.5 MB -
MD5: 548da79dda1450bd18c85d10276c1510
cell array consisting the entire time-match sequence for each realization. |
MATLAB Data - 2.3 KB -
MD5: af688e30918cac40a80dcdf935027986
each row contains the loop counter for the final image time-match of that realization |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 518.6 KB -
MD5: 38479648059adc6d77bf7c60911ddc35
Advection pre-trained model (FNO) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 31.1 MB -
MD5: e37c31313eefd5568c11af0c36075834
Advection pre-trained model (Unet) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 518.6 KB -
MD5: 09510743c315a505c42e2da4c5313a9d
Burgers pre-trained model (FNO) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 31.1 MB -
MD5: fedc814f213e17be7338e493c6cffabe
Burgers pre-trained model (Unet) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
TAR Archive - 2.6 MB -
MD5: f0ad9bb3bc212fd905038a2cfcb5b190
1D compressible NS eq pretrained model for FNO |
Jun 21, 2022 -
PDEBench Pretrained Models
TAR Archive - 1.6 MB -
MD5: 06e1cb179ae9f4c45db41c31ef299288
1D compressible NS eq pretrained model for PINN |