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121 to 130 of 136 Results
Modelcounter_block.rar
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
RAR Archive - 2.9 MB - MD5: 0c23320bdad7b2b427d4ba191b6e77c3
Data
2d arrays, containing col1: loop counter number and col2: number of blocks invaded.
Moments.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 962 B - MD5: a4c60d20771a1040ed1f89b4f38bed34
Code
code: Spatial moments (zeroth, first and second) computation of images in 2D space
mygaussfilt.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 497 B - MD5: cf38db012533faddf3c33e38a13426e6
Code
code: Gaussian blurring kernel
MyPostProcessing.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 8.1 KB - MD5: ca63840a125c066e0803c3d5b0524c0a
Code
code: main post-processing code (methods of comparison); calls "mygaussfilt.m" and "Moments.m"
Timematch_all_IP.mat
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
MATLAB Data - 5.5 MB - MD5: 548da79dda1450bd18c85d10276c1510
Data
cell array consisting the entire time-match sequence for each realization.
Timematch_final_IP.mat
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
MATLAB Data - 2.3 KB - MD5: af688e30918cac40a80dcdf935027986
Data
each row contains the loop counter for the final image time-match of that realization
Time_match.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 2.1 KB - MD5: 13577a254906907dc9aed2f6c6fb498b
Code
volume based time-matching code
ANN_params_MSE_L2_PHY.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 19.1 KB - MD5: 9b88868eeef277937d0c729615e217de
ANN parameters for the regularization method "MSE+L2+PHY"
ANN_params_MSE_L2.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 18.7 KB - MD5: 9a85fe1d359cb162a8c4bc183545ce46
ANN parameters for the regularization method "MSE+L2"
ANN_params_MSE_PHY.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 19.0 KB - MD5: 1b13a37e8fb1bf8ee2630519982ae0e4
ANN parameters for the regularization method "MSE+PHY"
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