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File Type: Archive

401 to 410 of 4,784 Results

02_SINGLE_PRECIPITATE_data.tar.gz Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures Gzip Archive - 91.2 MB - MD5: dea4f87121abc8de16a4bc24a1d84d40 Input data and results of POREMAPS and DUMUX for the Single Precipitate domain.
03_SEGMENT1_data.tar.gz Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures Gzip Archive - 3.3 GB - MD5: 37a1ff71830aa042ab364b099c2b9f5d Input data and results of POREMAPS and DUMUX for Segment 1.
04_SEGMENT2_data.tar.gz Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures Gzip Archive - 3.5 GB - MD5: b089128223f7de5f4b92c9a965da446f Input data and results of POREMAPS and DUMUX for the Segment 2.
05_SEGMENT3_data.tar.gz Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures Gzip Archive - 2.3 GB - MD5: 2ab48092170a214fbe40291be774063c Input data and results of POREMAPS and DUMUX for the Segment 3.
06_EVALUATION_PERMEABILITIES.tar.gz Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures Gzip Archive - 664.1 KB - MD5: 57754fe1779bd4e7e18b636292d15f90 Condensed results/permeabilities for all domains including ploting scripts to replicate figures in Krach et al.
Dec1_test.zip Nov 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks ZIP Archive - 24.0 MB - MD5: 228335dc8359943d20c0c623f967818d
Dec1_train.zip Nov 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks ZIP Archive - 19.5 MB - MD5: d394595b346b14002a47239b475b7c64
Dec6_test.zip Nov 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks ZIP Archive - 27.8 MB - MD5: da5a1252f94361ddfcb57b1adf7449d3
Dec6_train.zip Nov 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks ZIP Archive - 23.0 MB - MD5: 065cd7813ef190d649211a2aa7cfab94
1HP.zip Nov 18, 2024 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 59.4 MB - MD5: a814bd37297d5ab32790cbb08063a8a3

02_SINGLE_PRECIPITATE_data.tar.gz

Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures

Gzip Archive - 91.2 MB -

Input data and results of POREMAPS and DUMUX for the Single Precipitate domain.

03_SEGMENT1_data.tar.gz

Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures

Gzip Archive - 3.3 GB -

Input data and results of POREMAPS and DUMUX for Segment 1.

04_SEGMENT2_data.tar.gz

Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures

Gzip Archive - 3.5 GB -

Input data and results of POREMAPS and DUMUX for the Segment 2.