SimTech EXC 2075 Project Network 5 "On-the-fly model modification, error control, and simulation adaptivity"
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,461 to 1,470 of 1,476 Results
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"
ANN_params_MSE.xlsx
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 18.5 KB - MD5: ed241c309250b1d17eb682b750fa1244
ANN parameters for the regularization method "MSE"
README.md
Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
Markdown Text - 3.0 KB - MD5: 3aa442599a974dcf6b70ad2c45da506c
README file explaining how the data is formatted
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.