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

DOI

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 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.

Identifier
DOI https://doi.org/10.18419/darus-633
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-633
Provenance
Creator Praditia, Timothy ORCID logo
Publisher DaRUS
Contributor Nowak, Wolfgang; Walser, Thilo; Oladyshkin, Sergey
Publication Year 2020
Funding Reference Deutsche Forschungsgemeinschaft EXC-2075 – 390740016
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Nowak, Wolfgang (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/matlab-mat; text/markdown; text/x-sh
Size 517356009; 97470165; 5899; 5487400
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences