Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

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20,081 to 20,090 of 20,124 Results

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
Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-633, DaRUS, V1 This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs necessary for training, validating, and testing the ANN. The input data...
io_data.mat Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System MATLAB Data - 493.4 MB - MD5: 4368b82d61d591e5e7b76228741d13ae This .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.
noisy_data.mat Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System MATLAB Data - 93.0 MB - MD5: 5969cb06f84d4ed2348759c6091666eb This .mat file contains processed input-output data pairs needed to train, validate, and test the ANN.
README.md Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Markdown Text - 5.8 KB - MD5: 8feed08cd30f2e759181799d8ed814e1 README file explaining how the data is formatted
run_script.sh Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Shell Script - 5.2 MB - MD5: 92f8320c9a0e19c57b61ba939e14a1df An automated script to run all samples in DuMuX for reproduction of the input-output data contained in the 'io_data.mat' and 'noisy_data.mat'. Before running, the path to the DuMuX executables needs to be adjusted accordingly.
micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C Jun 22, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C", https://doi.org/10.18419/DARUS-682, DaRUS, V1 micro-XRCT data set (projection and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm which was before subjected to following thermal treatment to initiate cracks: Starting at room temperature (20°C) t...

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 -

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 -

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 -

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 -

README file explaining how the data is formatted

Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-633, DaRUS, V1

This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs necessary for training, validating, and testing the ANN. The input data...

io_data.mat

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

MATLAB Data - 493.4 MB -

This .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.

noisy_data.mat

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

MATLAB Data - 93.0 MB -

This .mat file contains processed input-output data pairs needed to train, validate, and test the ANN.

README.md

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Markdown Text - 5.8 KB -

README file explaining how the data is formatted

run_script.sh

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Shell Script - 5.2 MB -

An automated script to run all samples in DuMuX for reproduction of the input-output data contained in the 'io_data.mat' and 'noisy_data.mat'. Before running, the path to the DuMuX executables needs to be adjusted accordingly.

micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C

Jun 22, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research

Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C", https://doi.org/10.18419/DARUS-682, DaRUS, V1

micro-XRCT data set (projection and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm which was before subjected to following thermal treatment to initiate cracks: Starting at room temperature (20°C) t...

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