2021
DOI: 10.1002/ceat.202000297
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Porosity Estimation of Mesoporous TiO2‐ZnO Nanocrystalline by Artificial Neural Network Modeling

Abstract: Artificial neural network was introduced for modeling and verifying the relative significance of operational variables to attain the best possible average pore diameter (Dp) of the mesoporous TiO2‐ZnO nanocrystalline synthesized by microwave‐assisted hydrothermal method. To optimize the system, the autonomous variables calcination temperature and concentrations of D‐glucose, polyethylene glycol, and Zn‐Ti were employed as input factors, Dp was designated as output. Dp was achieved from the implementation of th… Show more

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