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

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DataCite Commons2025-12-02 更新2026-05-07 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/DARUS-633
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资源简介:
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.
提供机构:
DaRUS
创建时间:
2020-07-21
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