PN 5-6

SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"

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.

11 to 16 of 16 Results

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 ne...
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.
PINN Dynamic System(Universität Stuttgart) Feb 20, 2020 This dataverse contains dataset and codes for the submitted publication: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W. (2020): Physics-inspired Artificial Neural Network structure improves prediction: Application to a Thermochemical Energy Storage System

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 ne...

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.

PINN Dynamic System(Universität Stuttgart)

Feb 20, 2020

This dataverse contains dataset and codes for the submitted publication: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W. (2020): Physics-inspired Artificial Neural Network structure improves prediction: Application to a Thermochemical Energy Storage System

Add Data

Share Dataverse

Link Dataverse

Reset Modifications