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Publication_CCS.tar.xz
Apr 18, 2024 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
XZ Archive - 49.1 MB - MD5: 5607b69f31db1889e91bac9e06a5437f
Data
Publication_Karst.tar.xz
Apr 18, 2024 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
XZ Archive - 38.3 MB - MD5: a6cae49b2ddb3d63b491829a98d590e5
Data
Validation_Sim.tar.xz
Apr 18, 2024 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
XZ Archive - 21.6 MB - MD5: df584b29c331c1cc2883709f65d89e48
Data
wrr_image.tar
Apr 18, 2024 - Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
TAR Archive - 3.1 GB - MD5: 9a074fa2b0464eecbeced19a28299f90
Data
1DCFD_FNO.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 2.6 MB - MD5: f0ad9bb3bc212fd905038a2cfcb5b190
Data
1D compressible NS eq pretrained model for FNO
1DCFD_PINN.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 1.6 MB - MD5: 06e1cb179ae9f4c45db41c31ef299288
Data
1D compressible NS eq pretrained model for PINN
1DCFD_Unet.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 155.6 MB - MD5: fe8713baef7d3a3bd4040b6c6c27d05e
Data
1D compressible NS eq pretrained model for Unet
1DReacDiff_FNO.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 2.0 MB - MD5: 5f40110c251c5f16aa94ca324bdc5630
Data
1D Reaction-Diffusion eq pretrained model for FNO
1DReacDiff_PINN.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 1.3 MB - MD5: ed0913028a37b250547c732f726d2436
Data
1D Reaction-Diffusion eq pretrained model for PINN
1DReacDiff_Unet.tar
Jun 21, 2022 - PDEBench Pretrained Models
TAR Archive - 124.4 MB - MD5: 7b0f0c181c03da2e1d7f2ccc0001663c
Data
1D Reaction-Diffusion eq pretrained model for Unet
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