Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic Systemdoi:10.18419/darus-633DaRUS2020-07-211Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic Systemdoi:10.18419/darus-633Praditia, TimothyWalser, ThiloOladyshkin, SergeyNowak, WolfgangEXC-2075 – 390740016DaRUSNowak, WolfgangPraditia, Timothy2020-02-07Computer and Information ScienceEarth and Environmental SciencesThermochemical Energy StoragePorous medium flowThis 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 consist of CaO density, Ca(OH)2 density, CaO specific heat capacity, Ca(OH)2, porosity, permeability, reaction rate constant, initial and outlet pressure, initial temperature, inlet temperature, N2 molar inflow rate, H2O molar inflow rate, and specific reaction enthalpy. The output data consist of pressure, temperature, CaO volume fraction, and H2O molar fraction. Additionally, there is an automated script file for the DuMuX run.Praditia, T. (2020): Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System, <a href="https://doi.org/10.18419/darus-634">doi: 10.18419/darus-634</a>, DaRUS.Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W.: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies 2020Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W.: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies 2020io_data.matThis .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.application/matlab-matnoisy_data.matThis .mat file contains processed input-output data pairs needed to train, validate, and test the ANN.application/matlab-matREADME.mdREADME file explaining how the data is formattedtext/markdownrun_script.shAn 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.text/x-sh